Instructions to use hf-internal-testing/tiny-random-BlenderbotSmallForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BlenderbotSmallForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BlenderbotSmallForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-BlenderbotSmallForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bcbe7853e557f4f9319326dd7becd30267156909ffc16a367843ef8c2146b7d6
- Size of remote file:
- 3.97 MB
- SHA256:
- 0709e4e18fb436bf9b704f03da85af291e0e0c828341029c90c437d8481b04c9
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