Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Anwaarma/unfortified_camel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anwaarma/unfortified_camel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Anwaarma/unfortified_camel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Anwaarma/unfortified_camel") model = AutoModelForSequenceClassification.from_pretrained("Anwaarma/unfortified_camel") - Notebooks
- Google Colab
- Kaggle
Upload BertForSequenceClassification
Browse files- README.md +3 -3
- config.json +8 -1
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: CAMeL-Lab/bert-base-arabic-camelbert-da
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: unfortified_camel
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results: []
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---
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base_model: CAMeL-Lab/bert-base-arabic-camelbert-da
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license: apache-2.0
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metrics:
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- accuracy
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tags:
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- generated_from_trainer
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model-index:
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- name: unfortified_camel
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results: []
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config.json
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.42.2",
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"type_vocab_size": 2,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "Negative",
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"1": "Positive"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"Negative": 0,
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"Positive": 1
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.42.2",
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"type_vocab_size": 2,
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 436355056
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version https://git-lfs.github.com/spec/v1
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size 436355056
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