Instructions to use hansgun/model_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hansgun/model_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hansgun/model_test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hansgun/model_test") model = AutoModelForMaskedLM.from_pretrained("hansgun/model_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
modify label encoding
Browse files- config.json +2 -2
config.json
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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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"
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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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"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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