Translation
Transformers
Safetensors
multilingual
m2m_100
text2text-generation
nllb
seq2seq
endpoints-template
Instructions to use ericaRC/example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ericaRC/example 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="ericaRC/example")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ericaRC/example") model = AutoModelForSeq2SeqLM.from_pretrained("ericaRC/example") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -4,13 +4,13 @@ library_name: transformers
|
|
| 4 |
pipeline_tag: translation
|
| 5 |
base_model: facebook/nllb-200-distilled-600M
|
| 6 |
tags:
|
| 7 |
-
- translation
|
| 8 |
-
- nllb
|
| 9 |
-
- seq2seq
|
| 10 |
-
- endpoints-template
|
| 11 |
inference: true
|
| 12 |
language:
|
| 13 |
-
- multilingual
|
| 14 |
---
|
| 15 |
|
| 16 |
# baseline-nllb
|
|
|
|
| 4 |
pipeline_tag: translation
|
| 5 |
base_model: facebook/nllb-200-distilled-600M
|
| 6 |
tags:
|
| 7 |
+
- translation
|
| 8 |
+
- nllb
|
| 9 |
+
- seq2seq
|
| 10 |
+
- endpoints-template
|
| 11 |
inference: true
|
| 12 |
language:
|
| 13 |
+
- multilingual
|
| 14 |
---
|
| 15 |
|
| 16 |
# baseline-nllb
|