Instructions to use nlpie/tiny-biobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpie/tiny-biobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpie/tiny-biobert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("nlpie/tiny-biobert") model = AutoModelForMaskedLM.from_pretrained("nlpie/tiny-biobert") - Notebooks
- Google Colab
- Kaggle
Mojtaba aka Omid Rohanian commited on
Commit ·
e529c7b
1
Parent(s): 11263e7
Third version of the tiny-biobert model.
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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{
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"_name_or_path": "distil-biobert/models/tiny-biobert/
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"adapters": {
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"adapters": {},
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"config_map": {},
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"_name_or_path": "distil-biobert/models/tiny-biobert/final/model",
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"adapters": {
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"adapters": {},
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"config_map": {},
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pytorch_model.bin
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oid sha256:a2aef21b25d4ca1f10839f79c7662518a832f5f5a8d812ba08c0f4214535a8f7
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size 55649156
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