Instructions to use rcaiver/myodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rcaiver/myodel with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rcaiver/myodel") model = AutoModelForSeq2SeqLM.from_pretrained("rcaiver/myodel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 110d0c1ec2e5df261bc1ea7a532e0482f5a93ca319cc2047d566d03e739b3edc
- Size of remote file:
- 5.33 kB
- SHA256:
- 45c6569af5049316dc934c0ea933847753efba26a71cc75bc7acf39d7e4b305a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.