Instructions to use trl-internal-testing/tiny-VoxtralForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trl-internal-testing/tiny-VoxtralForConditionalGeneration with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="trl-internal-testing/tiny-VoxtralForConditionalGeneration")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("trl-internal-testing/tiny-VoxtralForConditionalGeneration") model = AutoModelForMultimodalLM.from_pretrained("trl-internal-testing/tiny-VoxtralForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from trl-internal-testing/tiny-VoxtralForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 103 Bytes
-
https://huggingface.co/trl-internal-testing/tiny-VoxtralForConditionalGeneration/resolve/refs%2Fpr%2F1/generation_config.json
- Command line
-
hf download hf://trl-internal-testing/tiny-VoxtralForConditionalGeneration@refs/pr/1/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/trl-internal-testing/tiny-VoxtralForConditionalGeneration/resolve/refs%2Fpr%2F1/generation_config.json
103 Bytes
| { | |
| "bos_token_id": 1, | |
| "eos_token_id": 2, | |
| "pad_token_id": 11, | |
| "transformers_version": "4.56.2" | |
| } | |