Transformers
PyTorch
TensorFlow
JAX
English
blenderbot-small
text2text-generation
convAI
conversational
facebook
Instructions to use facebook/blenderbot_small-90M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/blenderbot_small-90M with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("facebook/blenderbot_small-90M") model = AutoModelForSeq2SeqLM.from_pretrained("facebook/blenderbot_small-90M") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dc7e194574df3405f6a7be66fe419ff939731ae064445192e4c26347959f656f
- Size of remote file:
- 350 MB
- SHA256:
- 9f1a4ebe462768ee697bc4529af5baf7a5418df822bb900bc4e02af7b6eeae9d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.