Instructions to use canIjoin/datafun with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use canIjoin/datafun with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="canIjoin/datafun")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("canIjoin/datafun") model = AutoModelForTokenClassification.from_pretrained("canIjoin/datafun", device_map="auto") - Notebooks
- Google Colab
- Kaggle
asd
Browse files- config.json +2 -2
config.json
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"28": "O",
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"29": "O",
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"30": "O",
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"31": "
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"O": 28,
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"O": 29,
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"O": 30,
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"
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},
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"layer_norm_eps": 1e-12,
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"max_LOC_embeddings": 512,
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"28": "O",
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"29": "O",
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"30": "O",
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"31": "O"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"O": 28,
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"O": 29,
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"O": 30,
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"O": 31
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},
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"layer_norm_eps": 1e-12,
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"max_LOC_embeddings": 512,
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