Instructions to use hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText: direct link, hf CLI and curl.
- Browser
- Download file 15.5 kB
-
https://huggingface.co/hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText/resolve/refs%2Fpr%2F62/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText@refs/pr/62/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText/resolve/refs%2Fpr%2F62/model.safetensors
15.5 kB
- Xet hash:
- b4f683fc63e41f25165c691d8aa1cb8a027ec42a6997e5a793328b0f8753e5cd
- Size of remote file:
- 15.5 kB
- SHA256:
- a162193f301dbbc9250c7648a892276e23fff55b5dbcb1a20456fa2dfc8e8408
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