Instructions to use mr-desilva/v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mr-desilva/v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mr-desilva/v2") model = AutoModelForSeq2SeqLM.from_pretrained("mr-desilva/v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from mr-desilva/v2: direct link, hf CLI and curl.
- Browser
- Download file 1.63 GB
-
https://huggingface.co/mr-desilva/v2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://mr-desilva/v2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/mr-desilva/v2/resolve/main/pytorch_model.bin
1.63 GB
- Xet hash:
- 3dca7d2c8f4933db6fb6847b5bbab183850619d029f672064899015fd561ed31
- Size of remote file:
- 1.63 GB
- SHA256:
- cb5825e78c6a0df74ca5660c4c7be37e973424ebff72c8677e9bece41c1640ca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.