Instructions to use ADELIB/ANQG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ADELIB/ANQG with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ADELIB/ANQG") model = AutoModelForSeq2SeqLM.from_pretrained("ADELIB/ANQG", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
This 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.0d4a98d
-
Update README.md
99fd10a -
Update README.md
58c60d8 -
Update README.md
fc109b5 -
Update README.md
d057a62 -
Update README.md
89b5dcf -
Update README.md
a8508e6 -
Update README.md
dccb8dc -
Create README.md
1926ef3 -
Delete README.md
82c4fec -
Delete spiece.model
838730e
-
Upload T5ForConditionalGeneration
3b8a687 -
Upload 5 files
c1f689d -
Delete Model
7dda377 -
Create new file
62f76ba -
initial commit
e3a1822