Instructions to use rdj-034/lab1_finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rdj-034/lab1_finetuning with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rdj-034/lab1_finetuning") model = AutoModelForSeq2SeqLM.from_pretrained("rdj-034/lab1_finetuning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from rdj-034/lab1_finetuning: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/rdj-034/lab1_finetuning/resolve/main/model.safetensors
- Command line
-
hf download hf://rdj-034/lab1_finetuning/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/rdj-034/lab1_finetuning/resolve/main/model.safetensors
299 MB
- Xet hash:
- 03945942c67052130e403da014d30625be3059ba2f4a26cebf6182f389d9ac6f
- Size of remote file:
- 299 MB
- SHA256:
- 5d24dd067c8a3d0ab44376ac0b4617f78071de456450e63a4cfeff21a86e7f89
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.