Instructions to use entropy/roberta_zinc_480m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use entropy/roberta_zinc_480m with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="entropy/roberta_zinc_480m")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("entropy/roberta_zinc_480m") model = AutoModelForMaskedLM.from_pretrained("entropy/roberta_zinc_480m") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8300407721b1aa2863ab03e1462950f8c7c93748ed588355777aa0bbb9b4c71e
- Size of remote file:
- 409 MB
- SHA256:
- cdfe52cf9fad07e69b83695de19cf30e05e4ce90b4eb71a30bc4499ef62a50ef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.