Instructions to use kgorman4/Longformer-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kgorman4/Longformer-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kgorman4/Longformer-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kgorman4/Longformer-Classification") model = AutoModelForSequenceClassification.from_pretrained("kgorman4/Longformer-Classification", 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 sha256:1258b2861097fa3641ed4b8bc5a6abb992e7730c6496354b700143ee583b0bb7
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size 594687410
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