Instructions to use kiddothe2b/biomedical-longformer-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kiddothe2b/biomedical-longformer-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="kiddothe2b/biomedical-longformer-large")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("kiddothe2b/biomedical-longformer-large") model = AutoModelForMaskedLM.from_pretrained("kiddothe2b/biomedical-longformer-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76ddb7573f4ddb2b4a266b4c0813f302bd1c424d0e934002259e5b6fda232e13
- Size of remote file:
- 1.66 GB
- SHA256:
- fba106960f856bc195e3faa5ad4262a7cf30bedf39245db0c7365d80d44222dc
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