Token Classification
Scikit-learn
PyTorch
TensorBoard
Safetensors
Transformers
English
distilbert
ner
mlflow
openchs
Eval Results (legacy)
Instructions to use openchs/ner_distillbert_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use openchs/ner_distillbert_v1 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("openchs/ner_distillbert_v1", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Transformers
How to use openchs/ner_distillbert_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="openchs/ner_distillbert_v1")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("openchs/ner_distillbert_v1") model = AutoModelForTokenClassification.from_pretrained("openchs/ner_distillbert_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "framework": "pytorch", | |
| "task": "ner", | |
| "model_class": "DistilBertForTokenClassification", | |
| "state_dict_keys": [ | |
| "distilbert.embeddings.word_embeddings.weight", | |
| "distilbert.embeddings.position_embeddings.weight", | |
| "distilbert.embeddings.LayerNorm.weight", | |
| "distilbert.embeddings.LayerNorm.bias", | |
| "distilbert.transformer.layer.0.attention.q_lin.weight", | |
| "distilbert.transformer.layer.0.attention.q_lin.bias", | |
| "distilbert.transformer.layer.0.attention.k_lin.weight", | |
| "distilbert.transformer.layer.0.attention.k_lin.bias", | |
| "distilbert.transformer.layer.0.attention.v_lin.weight", | |
| "distilbert.transformer.layer.0.attention.v_lin.bias", | |
| "distilbert.transformer.layer.0.attention.out_lin.weight", | |
| "distilbert.transformer.layer.0.attention.out_lin.bias", | |
| "distilbert.transformer.layer.0.sa_layer_norm.weight", | |
| "distilbert.transformer.layer.0.sa_layer_norm.bias", | |
| "distilbert.transformer.layer.0.ffn.lin1.weight", | |
| "distilbert.transformer.layer.0.ffn.lin1.bias", | |
| "distilbert.transformer.layer.0.ffn.lin2.weight", | |
| "distilbert.transformer.layer.0.ffn.lin2.bias", | |
| "distilbert.transformer.layer.0.output_layer_norm.weight", | |
| "distilbert.transformer.layer.0.output_layer_norm.bias", | |
| "distilbert.transformer.layer.1.attention.q_lin.weight", | |
| "distilbert.transformer.layer.1.attention.q_lin.bias", | |
| "distilbert.transformer.layer.1.attention.k_lin.weight", | |
| "distilbert.transformer.layer.1.attention.k_lin.bias", | |
| "distilbert.transformer.layer.1.attention.v_lin.weight", | |
| "distilbert.transformer.layer.1.attention.v_lin.bias", | |
| "distilbert.transformer.layer.1.attention.out_lin.weight", | |
| "distilbert.transformer.layer.1.attention.out_lin.bias", | |
| "distilbert.transformer.layer.1.sa_layer_norm.weight", | |
| "distilbert.transformer.layer.1.sa_layer_norm.bias", | |
| "distilbert.transformer.layer.1.ffn.lin1.weight", | |
| "distilbert.transformer.layer.1.ffn.lin1.bias", | |
| "distilbert.transformer.layer.1.ffn.lin2.weight", | |
| "distilbert.transformer.layer.1.ffn.lin2.bias", | |
| "distilbert.transformer.layer.1.output_layer_norm.weight", | |
| "distilbert.transformer.layer.1.output_layer_norm.bias", | |
| "distilbert.transformer.layer.2.attention.q_lin.weight", | |
| "distilbert.transformer.layer.2.attention.q_lin.bias", | |
| "distilbert.transformer.layer.2.attention.k_lin.weight", | |
| "distilbert.transformer.layer.2.attention.k_lin.bias", | |
| "distilbert.transformer.layer.2.attention.v_lin.weight", | |
| "distilbert.transformer.layer.2.attention.v_lin.bias", | |
| "distilbert.transformer.layer.2.attention.out_lin.weight", | |
| "distilbert.transformer.layer.2.attention.out_lin.bias", | |
| "distilbert.transformer.layer.2.sa_layer_norm.weight", | |
| "distilbert.transformer.layer.2.sa_layer_norm.bias", | |
| "distilbert.transformer.layer.2.ffn.lin1.weight", | |
| "distilbert.transformer.layer.2.ffn.lin1.bias", | |
| "distilbert.transformer.layer.2.ffn.lin2.weight", | |
| "distilbert.transformer.layer.2.ffn.lin2.bias", | |
| "distilbert.transformer.layer.2.output_layer_norm.weight", | |
| "distilbert.transformer.layer.2.output_layer_norm.bias", | |
| "distilbert.transformer.layer.3.attention.q_lin.weight", | |
| "distilbert.transformer.layer.3.attention.q_lin.bias", | |
| "distilbert.transformer.layer.3.attention.k_lin.weight", | |
| "distilbert.transformer.layer.3.attention.k_lin.bias", | |
| "distilbert.transformer.layer.3.attention.v_lin.weight", | |
| "distilbert.transformer.layer.3.attention.v_lin.bias", | |
| "distilbert.transformer.layer.3.attention.out_lin.weight", | |
| "distilbert.transformer.layer.3.attention.out_lin.bias", | |
| "distilbert.transformer.layer.3.sa_layer_norm.weight", | |
| "distilbert.transformer.layer.3.sa_layer_norm.bias", | |
| "distilbert.transformer.layer.3.ffn.lin1.weight", | |
| "distilbert.transformer.layer.3.ffn.lin1.bias", | |
| "distilbert.transformer.layer.3.ffn.lin2.weight", | |
| "distilbert.transformer.layer.3.ffn.lin2.bias", | |
| "distilbert.transformer.layer.3.output_layer_norm.weight", | |
| "distilbert.transformer.layer.3.output_layer_norm.bias", | |
| "distilbert.transformer.layer.4.attention.q_lin.weight", | |
| "distilbert.transformer.layer.4.attention.q_lin.bias", | |
| "distilbert.transformer.layer.4.attention.k_lin.weight", | |
| "distilbert.transformer.layer.4.attention.k_lin.bias", | |
| "distilbert.transformer.layer.4.attention.v_lin.weight", | |
| "distilbert.transformer.layer.4.attention.v_lin.bias", | |
| "distilbert.transformer.layer.4.attention.out_lin.weight", | |
| "distilbert.transformer.layer.4.attention.out_lin.bias", | |
| "distilbert.transformer.layer.4.sa_layer_norm.weight", | |
| "distilbert.transformer.layer.4.sa_layer_norm.bias", | |
| "distilbert.transformer.layer.4.ffn.lin1.weight", | |
| "distilbert.transformer.layer.4.ffn.lin1.bias", | |
| "distilbert.transformer.layer.4.ffn.lin2.weight", | |
| "distilbert.transformer.layer.4.ffn.lin2.bias", | |
| "distilbert.transformer.layer.4.output_layer_norm.weight", | |
| "distilbert.transformer.layer.4.output_layer_norm.bias", | |
| "distilbert.transformer.layer.5.attention.q_lin.weight", | |
| "distilbert.transformer.layer.5.attention.q_lin.bias", | |
| "distilbert.transformer.layer.5.attention.k_lin.weight", | |
| "distilbert.transformer.layer.5.attention.k_lin.bias", | |
| "distilbert.transformer.layer.5.attention.v_lin.weight", | |
| "distilbert.transformer.layer.5.attention.v_lin.bias", | |
| "distilbert.transformer.layer.5.attention.out_lin.weight", | |
| "distilbert.transformer.layer.5.attention.out_lin.bias", | |
| "distilbert.transformer.layer.5.sa_layer_norm.weight", | |
| "distilbert.transformer.layer.5.sa_layer_norm.bias", | |
| "distilbert.transformer.layer.5.ffn.lin1.weight", | |
| "distilbert.transformer.layer.5.ffn.lin1.bias", | |
| "distilbert.transformer.layer.5.ffn.lin2.weight", | |
| "distilbert.transformer.layer.5.ffn.lin2.bias", | |
| "distilbert.transformer.layer.5.output_layer_norm.weight", | |
| "distilbert.transformer.layer.5.output_layer_norm.bias", | |
| "classifier.weight", | |
| "classifier.bias" | |
| ] | |
| } |