Instructions to use recwizard/redial-rec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use recwizard/redial-rec with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import RedialRec model = RedialRec.from_pretrained("recwizard/redial-rec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.889cab1
-
Upload tokenizer
6c45fbc -
Upload tokenizer
07e2c57 -
Upload tokenizer
c541af3 -
Upload tokenizer
6be8a2e -
Upload RedialRec
dbf4069 -
Upload tokenizer
32095f0 -
Upload tokenizer
deea11c -
Upload RedialRec
27476b3 -
Upload tokenizer
ed4fce7 -
initial commit
534debd