Instructions to use digitalepidemiologylab/covid-twitter-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use digitalepidemiologylab/covid-twitter-bert with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("digitalepidemiologylab/covid-twitter-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from digitalepidemiologylab/covid-twitter-bert: direct link, hf CLI and curl.
- Browser
- Download file 1.35 GB
-
https://huggingface.co/digitalepidemiologylab/covid-twitter-bert/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://digitalepidemiologylab/covid-twitter-bert/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/digitalepidemiologylab/covid-twitter-bert/resolve/main/pytorch_model.bin
1.35 GB
- Xet hash:
- eaacc42e2c2a5a561785ad8618fb766f6e507a69e4c3de77b605f776dcfa40f9
- Size of remote file:
- 1.35 GB
- SHA256:
- c475c2c481605b26b0953099d0e380b0d913368a97221c0c97198e0b2fd32ad8
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