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
Download model.safetensors from ZaandaTeika/RAGHal-large-en-v1: direct link, hf CLI and curl.
- Browser
- Download file 1.58 GB
-
https://huggingface.co/ZaandaTeika/RAGHal-large-en-v1/resolve/fb15e07859a8cceebcbee2f40ea974db097c207c/model.safetensors
- Command line
-
hf download hf://ZaandaTeika/RAGHal-large-en-v1@fb15e07859a8cceebcbee2f40ea974db097c207c/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ZaandaTeika/RAGHal-large-en-v1/resolve/fb15e07859a8cceebcbee2f40ea974db097c207c/model.safetensors
1.58 GB
- Xet hash:
- b9d61ae19071d945fe24716205a5a1c8053202b79c89c95649b3f294ddbc53b0
- Size of remote file:
- 1.58 GB
- SHA256:
- 545d66ae61fec65b3c887bdd066400db364945a91d5b9d37c5035bc0d01a432e
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