Instructions to use ania3000/ossbert-morph-5ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ania3000/ossbert-morph-5ep with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ania3000/ossbert-morph-5ep")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ania3000/ossbert-morph-5ep") model = AutoModelForTokenClassification.from_pretrained("ania3000/ossbert-morph-5ep") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +2 -4
config.json
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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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{
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"<PAD>": 0,
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"<UNK>": 1,
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"ADJ": 22,
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"VERB,VerbForm=Inf": 54,
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"VERB,VerbForm=Inf2": 319,
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"X": 4
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"<PAD>": 0,
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"<UNK>": 1,
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"ADJ": 22,
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"VERB,VerbForm=Inf": 54,
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"VERB,VerbForm=Inf2": 319,
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"X": 4
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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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