Instructions to use timoneda/covid-trained-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timoneda/covid-trained-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="timoneda/covid-trained-deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("timoneda/covid-trained-deberta") model = AutoModelForMaskedLM.from_pretrained("timoneda/covid-trained-deberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f889fb83fc95342f250df6e2652911868cbe6120cf998a1ac78579e4d2036dc
- Size of remote file:
- 1.74 GB
- SHA256:
- f1ea4b62a88bfe0f9542c2397f84681b82757a5e77a48baece20e44527e76cb3
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