Transformers
PyTorch
TensorFlow
JAX
English
blenderbot
text2text-generation
convAI
conversational
facebook
Instructions to use wooldover/krautbot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wooldover/krautbot with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("wooldover/krautbot") model = AutoModelForSeq2SeqLM.from_pretrained("wooldover/krautbot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from wooldover/krautbot: direct link, hf CLI and curl.
- Browser
- Download file 730 MB
-
https://huggingface.co/wooldover/krautbot/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://wooldover/krautbot/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/wooldover/krautbot/resolve/main/flax_model.msgpack
730 MB
- Xet hash:
- bdc2a30d62991dd3ea2f61c778e1d13710da2642e9f95c083b975f19dda4fba8
- Size of remote file:
- 730 MB
- SHA256:
- 037b8b3c3206d429b399504183f74ff2ad4c8e89ddfb9a24a98c2bb6c455b4bc
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