Instructions to use devrishi/roberta-retrained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devrishi/roberta-retrained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="devrishi/roberta-retrained")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("devrishi/roberta-retrained") model = AutoModelForTokenClassification.from_pretrained("devrishi/roberta-retrained", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from devrishi/roberta-retrained: direct link, hf CLI and curl.
- Browser
- Download file 35 Bytes
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https://huggingface.co/devrishi/roberta-retrained/resolve/main/README.md
- Command line
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hf download hf://devrishi/roberta-retrained/README.md
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curl -L -o README.md https://huggingface.co/devrishi/roberta-retrained/resolve/main/README.md
35 Bytes
metadata
license: mit
language:
- en