Instructions to use StopFuture/future_15_3ep with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StopFuture/future_15_3ep with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StopFuture/future_15_3ep") model = AutoModelForSeq2SeqLM.from_pretrained("StopFuture/future_15_3ep", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f6f8583a32b53e094abdb706975ea4177411fbdf653e134e6f29b675f2fe0c9
- Size of remote file:
- 3.64 kB
- SHA256:
- 5400b4eff7b021e967ae26655e55eb0624998db81a84a5f7616ef6f7a559d16f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.