Instructions to use whatdhack/mt5-small-finetuned-amazon-en-es-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whatdhack/mt5-small-finetuned-amazon-en-es-1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("whatdhack/mt5-small-finetuned-amazon-en-es-1") model = AutoModelForSeq2SeqLM.from_pretrained("whatdhack/mt5-small-finetuned-amazon-en-es-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from whatdhack/mt5-small-finetuned-amazon-en-es-1: direct link, hf CLI and curl.
- Browser
- Download file 74 Bytes
-
https://huggingface.co/whatdhack/mt5-small-finetuned-amazon-en-es-1/resolve/af0311be6996c21187d9ea28db3e8a03ad953a43/special_tokens_map.json
- Command line
-
hf download hf://whatdhack/mt5-small-finetuned-amazon-en-es-1@af0311be6996c21187d9ea28db3e8a03ad953a43/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/whatdhack/mt5-small-finetuned-amazon-en-es-1/resolve/af0311be6996c21187d9ea28db3e8a03ad953a43/special_tokens_map.json
74 Bytes
| { | |
| "eos_token": "</s>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |