Instructions to use timoneda/covid_trained_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timoneda/covid_trained_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="timoneda/covid_trained_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("timoneda/covid_trained_bert") model = AutoModelForMaskedLM.from_pretrained("timoneda/covid_trained_bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 679bacda85ba745415404d001dec9a0b4afd862285df51e9715a8a4cfe41a45b
- Size of remote file:
- 1.34 GB
- SHA256:
- b1fe19889afd6153e508b5c2191bc20a604f812be8dad01bf871137321eea3cd
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