Fill-Mask
Transformers
PyTorch
TensorBoard
French
longformer
biomedical
medical
clinical
life science
Instructions to use abazoge/DrLongformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abazoge/DrLongformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="abazoge/DrLongformer")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("abazoge/DrLongformer") model = AutoModelForMaskedLM.from_pretrained("abazoge/DrLongformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5f516017a38570d5adc59d4d71603b53da5ab5256e2d5ab652e6dc6ead5f2c5
- Size of remote file:
- 595 MB
- SHA256:
- 1af7d6e33348359f671c6ec3dd36c2e12afbcae188ea90136727bf139ed8a593
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