Instructions to use SiriRRR/test-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SiriRRR/test-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("SiriRRR/test-model") model = AutoModelForSeq2SeqLM.from_pretrained("SiriRRR/test-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tf_model.h5 from SiriRRR/test-model: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/SiriRRR/test-model/resolve/main/tf_model.h5
- Command line
-
hf download hf://SiriRRR/test-model/tf_model.h5
-
curl -L -o tf_model.h5 https://huggingface.co/SiriRRR/test-model/resolve/main/tf_model.h5
558 MB
- Xet hash:
- 74429cb4ba64e8942dfda4b4541e081fff8600eba60d85689752291ec7acd65e
- Size of remote file:
- 558 MB
- SHA256:
- 880d7d56234114c4d026249e8474165b8fd2ef916b92ade41455b9088e00d3ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.