Instructions to use Thalesian/pretrain_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thalesian/pretrain_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Thalesian/pretrain_2") model = AutoModelForSeq2SeqLM.from_pretrained("Thalesian/pretrain_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Thalesian/pretrain_2: direct link, hf CLI and curl.
- Browser
- Download file 16.4 MB
-
https://huggingface.co/Thalesian/pretrain_2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Thalesian/pretrain_2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Thalesian/pretrain_2/resolve/main/tokenizer.json
16.4 MB
- Xet hash:
- e5d24fc06ce6787297bfc711f2daffb8da8d925a96bc5de0089e5a4a83379a37
- Size of remote file:
- 16.4 MB
- SHA256:
- 4a611ced5fb5dda72f545f09f7abf4ed995e20509752de0f44b27c62fd46d339
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.