Instructions to use HuyTran1301/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HuyTran1301/tmp_trainer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("HuyTran1301/tmp_trainer") model = AutoModelForSeq2SeqLM.from_pretrained("HuyTran1301/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HuyTran1301/tmp_trainer: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/HuyTran1301/tmp_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://HuyTran1301/tmp_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HuyTran1301/tmp_trainer/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- e8194999ead192fa729521a3430620f07ce93975ab60c3e1fbc565cf293bef95
- Size of remote file:
- 5.3 kB
- SHA256:
- a8f3817c9c7aa4b332aa60554eb17272fbd10eaa669ba62d2e08641e79c9f706
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.