Instructions to use dsmitran/topic-classification-20ng-longformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dsmitran/topic-classification-20ng-longformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dsmitran/topic-classification-20ng-longformer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dsmitran/topic-classification-20ng-longformer") model = AutoModelForSequenceClassification.from_pretrained("dsmitran/topic-classification-20ng-longformer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:949f057df236a606cc3a504765cfb40483c5680927a202898c47ec61d2ccc5e3
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size 594733552
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