Instructions to use bbaaaa/myfork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bbaaaa/myfork with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="bbaaaa/myfork")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("bbaaaa/myfork") model = AutoModel.from_pretrained("bbaaaa/myfork") - Notebooks
- Google Colab
- Kaggle
Commit History
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transformer big 60823c5
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typo: encoder-encoder -> encoder-decoder (#1) 8435883
Update config.json d0af988
remove ipynb file ea0107e
update mask token embeddings b0c3779
Fix code example 7652e0c
Add model card 51f9983
add flax model c5eee23
Move tokenizer.json from roberta-large c2469fb
Added vocabulary files from robert-large repo df1e90c
Thomas Wolf commited on