Instructions to use timoneda/covid_roberta_80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timoneda/covid_roberta_80 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="timoneda/covid_roberta_80")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("timoneda/covid_roberta_80") model = AutoModelForMaskedLM.from_pretrained("timoneda/covid_roberta_80", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d928de01c27e8a3cdfcea3c2f81400fdfba1b35861731f2b51a5894ae387349f
- Size of remote file:
- 1.42 GB
- SHA256:
- 63ac5c40207abf3675198247cf93c9481e4ca5e9e1e20ea2b5af80b0cbfbbfb8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.