Instructions to use vishwa27/halueval_syn_UNSUP_fineg_fb_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vishwa27/halueval_syn_UNSUP_fineg_fb_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vishwa27/halueval_syn_UNSUP_fineg_fb_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vishwa27/halueval_syn_UNSUP_fineg_fb_model") model = AutoModelForTokenClassification.from_pretrained("vishwa27/halueval_syn_UNSUP_fineg_fb_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
With additional 1k data points trained for fixing UNSUP model training
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