Instructions to use mahesh27/div-class-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mahesh27/div-class-roberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mahesh27/div-class-roberta")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mahesh27/div-class-roberta") model = AutoModelForSequenceClassification.from_pretrained("mahesh27/div-class-roberta", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:6d9d115d6e16781784257481d3c91dbd95fa96471f00e6c7b2ec56d99666ab17
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size 405787376
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