Instructions to use neurocode/IsRoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neurocode/IsRoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="neurocode/IsRoBERTa")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("neurocode/IsRoBERTa") model = AutoModelForMaskedLM.from_pretrained("neurocode/IsRoBERTa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
upload flax model
c343f2f -
allow flax
c3864b7
-
Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/neurocode/IsRoBERTa/README.md23a065c
-
Update merges.txt
c2ca5dd -
Update pytorch_model.bin
2508d68 -
Update config.json
43fb77f -
Update vocab.json
19abbe0 -
Update training_args.bin
a7fcb64 -
Update log_history.json
a51b180
-
Update config.json
92754f2 -
initial commit
fa2b588