Instructions to use Ghani-25/predy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ghani-25/predy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ghani-25/predy") model = AutoModelForSeq2SeqLM.from_pretrained("Ghani-25/predy", 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.a6c56c3
-
Upload spiece.model
341f9fd -
Upload config.json
907fcb7 -
Upload pytorch_model.bin
af8d3bb -
Delete config.json
670b8c9 -
Delete spiece.model
ea9e269 -
Delete pytorch_model.bin
e26494b
-
Upload pytorch_model.bin
f7dd71e -
Delete pytorch_model.bin
4129eef -
Upload config.json
b12a4ce -
Upload spiece.model
78b10ce -
Upload pytorch_model.bin
c44031c -
initial commit
68f54a9