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:
- d9881b7b3873f9d7d1e75ec4dc0cb9cb95ef4bcde71b347d98e2953af164f2a0
- Size of remote file:
- 2.46 GB
- SHA256:
- c26fea1b0788456e3e0d6dfd0165cacec798a0b6d957c9045a234826994dec41
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