Translation
Transformers
PyTorch
Safetensors
Enawené-Nawé
Enawené-Nawé
mt5
text2text-generation
Trained with AutoTrain
Instructions to use rooftopcoder/mT5_base_English_Gujrati with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/mT5_base_English_Gujrati with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="rooftopcoder/mT5_base_English_Gujrati")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/mT5_base_English_Gujrati") model = AutoModelForSeq2SeqLM.from_pretrained("rooftopcoder/mT5_base_English_Gujrati", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 112 Bytes
1045a65 | 1 2 3 4 5 6 7 | {
"decoder_start_token_id": 0,
"eos_token_id": 1,
"pad_token_id": 0,
"transformers_version": "4.28.1"
}
|