Token Classification
Transformers
Safetensors
English
modernbert
hallucination-detection
faithfulness
attribution
rag
Instructions to use ZaandaTeika/RAGHal-large-en-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZaandaTeika/RAGHal-large-en-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ZaandaTeika/RAGHal-large-en-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ZaandaTeika/RAGHal-large-en-v1") model = AutoModelForTokenClassification.from_pretrained("ZaandaTeika/RAGHal-large-en-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 135 Bytes
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