Translation
Transformers
Safetensors
Tooro
Nyoro
Ganda
m2m_100
text2text-generation
nllb-200
rutooro
Instructions to use cle-13/nllb-tooro-ttj-patched with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cle-13/nllb-tooro-ttj-patched 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="cle-13/nllb-tooro-ttj-patched")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cle-13/nllb-tooro-ttj-patched") model = AutoModelForSeq2SeqLM.from_pretrained("cle-13/nllb-tooro-ttj-patched", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from cle-13/nllb-tooro-ttj-patched: direct link, hf CLI and curl.
- Browser
- Download file 184 Bytes
-
https://huggingface.co/cle-13/nllb-tooro-ttj-patched/resolve/main/generation_config.json
- Command line
-
hf download hf://cle-13/nllb-tooro-ttj-patched/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/cle-13/nllb-tooro-ttj-patched/resolve/main/generation_config.json
184 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 2, | |
| "eos_token_id": 2, | |
| "max_length": 200, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.42.4" | |
| } | |