Instructions to use pucpr/tempclin-biobertpt-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pucpr/tempclin-biobertpt-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="pucpr/tempclin-biobertpt-all")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("pucpr/tempclin-biobertpt-all") model = AutoModelForMaskedLM.from_pretrained("pucpr/tempclin-biobertpt-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 093126c09c8b4beeb1898eb5c9771b37b56c29e56f64a018357fc2e568aa60c7
- Size of remote file:
- 712 MB
- SHA256:
- b100b12aad941a19a40c3ea74b45d4ef82fb9278c2208d82de0f9520d9a1d8a7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.