Instructions to use AnonymousSub/longformer-mlm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousSub/longformer-mlm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AnonymousSub/longformer-mlm")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AnonymousSub/longformer-mlm") model = AutoModelForMaskedLM.from_pretrained("AnonymousSub/longformer-mlm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86427139727624a11e26b4449819f3d2f086368486a2713cafa8b1a40d800129
- Size of remote file:
- 595 MB
- SHA256:
- 0d513c74c01e90361725a8be1a1dd9b9a594064a31d31df8eb02960fc2bb2c6d
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