Instructions to use rishika0704/robert-text-classification-primary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rishika0704/robert-text-classification-primary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="rishika0704/robert-text-classification-primary")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("rishika0704/robert-text-classification-primary") model = AutoModelForSequenceClassification.from_pretrained("rishika0704/robert-text-classification-primary", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download vocab.json from rishika0704/robert-text-classification-primary: direct link, hf CLI and curl.
- Browser
- Download file 999 kB
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https://huggingface.co/rishika0704/robert-text-classification-primary/resolve/main/vocab.json
- Command line
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hf download hf://rishika0704/robert-text-classification-primary/vocab.json
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curl -L -o vocab.json https://huggingface.co/rishika0704/robert-text-classification-primary/resolve/main/vocab.json
999 kB
File too large to display, you can check the raw version instead.