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%2F7/model.safetensors
- Command line
-
hf download hf://hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText@refs/pr/7/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/hf-internal-testing/tiny-random-SeamlessM4Tv2ForTextToText/resolve/refs%2Fpr%2F7/model.safetensors
15.5 kB
- Xet hash:
- 0ef93ba8a2d1f2d89f1bee39203312a9b4180d5a08abe9e97dc9da31204dd571
- Size of remote file:
- 15.5 kB
- SHA256:
- 1e074b2d26208278d2fd0fb672f17835db326261805e0baafe0776da7c3d46e2
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