Transformers
Safetensors
mt5
text2text-generation
full-finetuning
amharic
sentiment-classification
single-task
Generated from Trainer
Instructions to use tadiecool29/STL-FullFT-afri-mt5-base-sentiment with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tadiecool29/STL-FullFT-afri-mt5-base-sentiment with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tadiecool29/STL-FullFT-afri-mt5-base-sentiment") model = AutoModelForSeq2SeqLM.from_pretrained("tadiecool29/STL-FullFT-afri-mt5-base-sentiment", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "eos_token": "</s>", | |
| "extra_ids": 0, | |
| "extra_special_tokens": [], | |
| "is_local": false, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "T5Tokenizer", | |
| "unk_token": "<unk>" | |
| } | |