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:
- cfebc981eb053669ab18e85b0fd7f0fa507ace755902929949a893299df17076
- Size of remote file:
- 304 kB
- SHA256:
- 4dc24ae607aede01ef852f1c5b6c33801d19bc56d0b81ca5af1f5eb28e037e13
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