Instructions to use Bistolero/it_train_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bistolero/it_train_all with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Bistolero/it_train_all") model = AutoModelForSeq2SeqLM.from_pretrained("Bistolero/it_train_all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a9c19eeaca4982786045201b0983f00b5eaef7c59923a2953fcf02b8bcd3a63
- Size of remote file:
- 1.2 GB
- SHA256:
- 68aacdb8e0a624956dc55073474f0ad774d34505b47fb466b28d95612d00b30e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.