Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use devagonal/mt5-semantic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devagonal/mt5-semantic with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("devagonal/mt5-semantic") model = AutoModelForSeq2SeqLM.from_pretrained("devagonal/mt5-semantic", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from devagonal/mt5-semantic: direct link, hf CLI and curl.
- Browser
- Download file 112 Bytes
-
https://huggingface.co/devagonal/mt5-semantic/resolve/main/generation_config.json
- Command line
-
hf download hf://devagonal/mt5-semantic/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/devagonal/mt5-semantic/resolve/main/generation_config.json
112 Bytes
| { | |
| "decoder_start_token_id": 0, | |
| "eos_token_id": 1, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.35.2" | |
| } | |