Token Classification
Transformers
Safetensors
modernbert
semantic-router
vela
hallucination-detection
Instructions to use vllm-sr/Vela-1.0-Encoder-307M-Halu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vllm-sr/Vela-1.0-Encoder-307M-Halu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="vllm-sr/Vela-1.0-Encoder-307M-Halu")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("vllm-sr/Vela-1.0-Encoder-307M-Halu") model = AutoModelForTokenClassification.from_pretrained("vllm-sr/Vela-1.0-Encoder-307M-Halu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from vllm-sr/Vela-1.0-Encoder-307M-Halu: direct link, hf CLI and curl.
- Browser
- Download file 34.4 MB
-
https://huggingface.co/vllm-sr/Vela-1.0-Encoder-307M-Halu/resolve/469c730769786b05a8061c88bdb64db581d6a394/tokenizer.json
- Command line
-
hf download hf://vllm-sr/Vela-1.0-Encoder-307M-Halu@469c730769786b05a8061c88bdb64db581d6a394/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/vllm-sr/Vela-1.0-Encoder-307M-Halu/resolve/469c730769786b05a8061c88bdb64db581d6a394/tokenizer.json
34.4 MB
- Xet hash:
- c527bcf332d7cc3d4e5b3932e0045eac08d7be14810c667810f2a9365fdc7d83
- Size of remote file:
- 34.4 MB
- SHA256:
- 0be5487f39c5ddc334beb659aa180e4d8a347293bc21a5d85df7ec1674cc4c8c
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