Translation
Transformers
PyTorch
ONNX
Safetensors
m2m_100
text2text-generation
small100
flores101
gsarti/flores_101
tico19
gmnlp/tico19
tatoeba
Instructions to use alirezamsh/small100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alirezamsh/small100 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="alirezamsh/small100")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alirezamsh/small100") model = AutoModelForSeq2SeqLM.from_pretrained("alirezamsh/small100") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): bcc650c
Update README.md
Browse files
README.md
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@@ -139,7 +139,7 @@ from transformers import M2M100ForConditionalGeneration
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from tokenization_small100 import SMALL100Tokenizer
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model = M2M100ForConditionalGeneration.from_pretrained("alirezamsh/small100")
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tokenizer =
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src_text = "Life is like a box of chocolates."
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tgt_text = "La vie est comme une boîte de chocolat."
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from tokenization_small100 import SMALL100Tokenizer
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model = M2M100ForConditionalGeneration.from_pretrained("alirezamsh/small100")
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tokenizer = SMALL100Tokenizer.from_pretrained("alirezamsh/small100", tgt_lang="fr")
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src_text = "Life is like a box of chocolates."
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tgt_text = "La vie est comme une boîte de chocolat."
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