Token Classification
Transformers
Safetensors
English
eurobert
html
content-extraction
web-scraping
boilerplate-removal
encoder
rag
custom_code
Instructions to use feyninc/pulpie-orange-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use feyninc/pulpie-orange-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="feyninc/pulpie-orange-large", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("feyninc/pulpie-orange-large", trust_remote_code=True) model = AutoModelForTokenClassification.from_pretrained("feyninc/pulpie-orange-large", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
File size: 1,484 Bytes
3a9825e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 | {
"architectures": [
"EuroBertForTokenClassification"
],
"attention_bias": false,
"attention_dropout": 0.0,
"auto_map": {
"AutoConfig": "configuration_eurobert.EuroBertConfig",
"AutoModel": "modeling_eurobert.EuroBertModel",
"AutoModelForMaskedLM": "modeling_eurobert.EuroBertForMaskedLM",
"AutoModelForPreTraining": "modeling_eurobert.EuroBertPreTrainedModel",
"AutoModelForQuestionAnswering": "modeling_eurobert.EuroBertForQuestionAnswering",
"AutoModelForSequenceClassification": "modeling_eurobert.EuroBertForSequenceClassification",
"AutoModelForTokenClassification": "modeling_eurobert.EuroBertForTokenClassification"
},
"bos_token": "<|begin_of_text|>",
"bos_token_id": 128000,
"clf_pooling": "late",
"dtype": "bfloat16",
"eos_token": "<|end_of_text|>",
"eos_token_id": 128001,
"head_dim": 128,
"hidden_act": "silu",
"hidden_dropout": 0.0,
"hidden_size": 2304,
"initializer_range": 0.02,
"intermediate_size": 6144,
"mask_token": "<|mask|>",
"mask_token_id": 128002,
"max_position_embeddings": 8192,
"mlp_bias": false,
"model_type": "eurobert",
"num_attention_heads": 18,
"num_hidden_layers": 32,
"num_key_value_heads": 6,
"pad_token": "<|end_of_text|>",
"pad_token_id": 128001,
"pretraining_tp": 1,
"rms_norm_eps": 1e-05,
"rope_scaling": null,
"rope_theta": 250000,
"tie_word_embeddings": false,
"transformers_version": "4.57.6",
"use_cache": false,
"vocab_size": 128257
}
|