Instructions to use adenhaus/mt5-small-tata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adenhaus/mt5-small-tata with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("adenhaus/mt5-small-tata") model = AutoModelForSeq2SeqLM.from_pretrained("adenhaus/mt5-small-tata", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from adenhaus/mt5-small-tata: direct link, hf CLI and curl.
- Browser
- Download file 176 Bytes
-
https://huggingface.co/adenhaus/mt5-small-tata/resolve/main/generation_config.json
- Command line
-
hf download hf://adenhaus/mt5-small-tata/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/adenhaus/mt5-small-tata/resolve/main/generation_config.json
176 Bytes
| { | |
| "_from_model_config": true, | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.35.0.dev0", | |
| "repetition_penalty": 1.2 | |
| } | |