Instructions to use roscazo/covid-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roscazo/covid-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="roscazo/covid-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("roscazo/covid-model") model = AutoModelForMaskedLM.from_pretrained("roscazo/covid-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from roscazo/covid-model: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/roscazo/covid-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://roscazo/covid-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/roscazo/covid-model/resolve/main/pytorch_model.bin
499 MB
- Xet hash:
- 1ebca51ddf1d66e7bca4e7627826f64377844b2c18439393763d907e684109ba
- Size of remote file:
- 499 MB
- SHA256:
- 9ae129faa62f0bacaa56cdc6cc431f91293a6ce871ca72b20895e2555f87db63
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