Instructions to use hf-internal-testing/tiny-random-BlenderbotForConditionalGeneration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-BlenderbotForConditionalGeneration with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-BlenderbotForConditionalGeneration") model = AutoModelForSeq2SeqLM.from_pretrained("hf-internal-testing/tiny-random-BlenderbotForConditionalGeneration", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5095dac60a405227f78d4c64f99b0d9701012425f19b6e0ddaeb7e0689523bdd
- Size of remote file:
- 183 kB
- SHA256:
- 386adff5a507572394be92e272c65d09031fae0a1de9b598a5d5d305a7732e5b
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