Instructions to use Shadman-Rohan/output_diff_approach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shadman-Rohan/output_diff_approach with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Shadman-Rohan/output_diff_approach")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Shadman-Rohan/output_diff_approach") model = AutoModelForTokenClassification.from_pretrained("Shadman-Rohan/output_diff_approach", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from Shadman-Rohan/output_diff_approach: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/Shadman-Rohan/output_diff_approach/resolve/main/.gitignore
- Command line
-
hf download hf://Shadman-Rohan/output_diff_approach/.gitignore
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curl -L -o .gitignore https://huggingface.co/Shadman-Rohan/output_diff_approach/resolve/main/.gitignore
13 Bytes
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