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%2F41/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText@refs/pr/41/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText/resolve/refs%2Fpr%2F41/model.safetensors
15.5 kB
- Xet hash:
- 059b1ccf8335a4cc627d18ce66c814c6fb8a9ed81389c3efa3c5ba498598d299
- Size of remote file:
- 15.5 kB
- SHA256:
- 7b465ab10ca99d6887e6c15cdf3de112f4dd908d66ffef4e5b5327f7401fb3f9
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