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
File size: 135 Bytes
d933525 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:b1fe19889afd6153e508b5c2191bc20a604f812be8dad01bf871137321eea3cd
size 1340842539
|