Instructions to use Narsil/nllb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/nllb 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="Narsil/nllb")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Narsil/nllb") model = AutoModelForSeq2SeqLM.from_pretrained("Narsil/nllb") - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -4
config.json
CHANGED
|
@@ -30,8 +30,5 @@
|
|
| 30 |
"use_cache": true,
|
| 31 |
"vocab_size": 256206,
|
| 32 |
"tokenizer_class": "NllbTokenizer",
|
| 33 |
-
"max_length": 200
|
| 34 |
-
"task_specific_params":{
|
| 35 |
-
"translation_fr_to_en": {}
|
| 36 |
-
}
|
| 37 |
}
|
|
|
|
| 30 |
"use_cache": true,
|
| 31 |
"vocab_size": 256206,
|
| 32 |
"tokenizer_class": "NllbTokenizer",
|
| 33 |
+
"max_length": 200
|
|
|
|
|
|
|
|
|
|
| 34 |
}
|