Instructions to use NeuML/bert-small-cord19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuML/bert-small-cord19 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="NeuML/bert-small-cord19")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("NeuML/bert-small-cord19") model = AutoModelForMaskedLM.from_pretrained("NeuML/bert-small-cord19", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from NeuML/bert-small-cord19: direct link, hf CLI and curl.
- Browser
- Download file 140 MB
-
https://huggingface.co/NeuML/bert-small-cord19/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://NeuML/bert-small-cord19/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/NeuML/bert-small-cord19/resolve/main/flax_model.msgpack
140 MB
- Xet hash:
- 20afa07079a0f31842471cde05f131f45b5d7c7d0afe2ce44029acd7014fc2a2
- Size of remote file:
- 140 MB
- SHA256:
- 7575f42e3154c0ff5e2e8726919e88c07926a626da6d1981b97be86845239edc
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