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
- Xet hash:
- 4d7ba581628c2e656d6de12c8aef3eac9c9244d6dd151da417029b23324fa3ff
- Size of remote file:
- 32.2 MB
- SHA256:
- b3be18cc91c94d4a1d83731ace4dac0b90a7db024edecdeb9fe7d19ec01ce901
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