Instructions to use Koltunov-Matthew/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Koltunov-Matthew/my_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Koltunov-Matthew/my_model") model = AutoModelForSeq2SeqLM.from_pretrained("Koltunov-Matthew/my_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d679225c2ab2bb3fb5feeed354e212808d9da0ffb83a61cb9ca1e48ec1146f1
- Size of remote file:
- 242 MB
- SHA256:
- 0e40488ec0a99daeea34990040b169ad8db7ed2684db1dadb41fa52092c9306a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.