Translation
Transformers
Safetensors
Telugu
English
t5
text2text-generation
indic-nlp
telugu
mt5
hybrid-training
full-finetune
Eval Results (legacy)
text-generation-inference
Instructions to use ManiKumarAdapala/mt5-telugu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ManiKumarAdapala/mt5-telugu 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="ManiKumarAdapala/mt5-telugu")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ManiKumarAdapala/mt5-telugu") model = AutoModelForSeq2SeqLM.from_pretrained("ManiKumarAdapala/mt5-telugu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from ManiKumarAdapala/mt5-telugu: direct link, hf CLI and curl.
- Browser
- Download file 16.3 MB
-
https://huggingface.co/ManiKumarAdapala/mt5-telugu/resolve/main/tokenizer.json
- Command line
-
hf download hf://ManiKumarAdapala/mt5-telugu/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/ManiKumarAdapala/mt5-telugu/resolve/main/tokenizer.json
16.3 MB
- Xet hash:
- 82820c9bb7cf577894de2ffb77dda35ac604fb67038a980e3f8ea51ff2ec9395
- Size of remote file:
- 16.3 MB
- SHA256:
- 65c2d7defb6472fada8a935bb364ae3433f7451780c8a59ab6b3cfbaadb32608
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.