Instructions to use Fei-Wang/temp-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fei-Wang/temp-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Fei-Wang/temp-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Fei-Wang/temp-model") model = AutoModelForTokenClassification.from_pretrained("Fei-Wang/temp-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
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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": "
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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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_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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