Instructions to use hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration: direct link, hf CLI and curl.
- Browser
- Download file 3.8 MB
-
https://huggingface.co/hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration/resolve/4fe797c6dc7f39322bdc90c478625bc76d7af4e9/pytorch_model.bin
- Command line
-
hf download hf://hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration@4fe797c6dc7f39322bdc90c478625bc76d7af4e9/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hf-tiny-model-private/tiny-random-BlenderbotSmallForConditionalGeneration/resolve/4fe797c6dc7f39322bdc90c478625bc76d7af4e9/pytorch_model.bin
3.8 MB
- Xet hash:
- bbc6a654f620eb141fa099668e7a525f8b3c1e42896d02a3e40a07de3475b614
- Size of remote file:
- 3.8 MB
- SHA256:
- e1a54aaa41c5ac8d0f9e2abe699846dc9a720c60f6c05c44e282b2e50ab21f70
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.