Instructions to use Evuv/mt5-base-torch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Evuv/mt5-base-torch with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Evuv/mt5-base-torch") model = AutoModelForSeq2SeqLM.from_pretrained("Evuv/mt5-base-torch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from Evuv/mt5-base-torch: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/Evuv/mt5-base-torch/resolve/main/generation_config.json
- Command line
-
hf download hf://Evuv/mt5-base-torch/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/Evuv/mt5-base-torch/resolve/main/generation_config.json
112 Bytes
| { | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.28.0" | |
| } | |