Instructions to use taspips/my_longformer_finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taspips/my_longformer_finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="taspips/my_longformer_finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("taspips/my_longformer_finetuned") model = AutoModelForMaskedLM.from_pretrained("taspips/my_longformer_finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:5ace7e63720d2cd1c4d346326a0f85ed6ef03433fb2421183910e6f6202dbc41
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size 594879308
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