Instructions to use lewtun/tiny-random-mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lewtun/tiny-random-mt5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="lewtun/tiny-random-mt5")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("lewtun/tiny-random-mt5") model = AutoModel.from_pretrained("lewtun/tiny-random-mt5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 398 Bytes
6dbbee0 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"additional_special_tokens": null,
"eos_token": "</s>",
"extra_ids": 0,
"name_or_path": "google/mt5-small",
"pad_token": "<pad>",
"sp_model_kwargs": {},
"special_tokens_map_file": "/Users/lewtun/.cache/huggingface/hub/models--google--mt5-small/snapshots/f03a52d3eaa650878b6f52e443bc4d5b385e786e/special_tokens_map.json",
"tokenizer_class": "T5Tokenizer",
"unk_token": "<unk>"
}
|