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
only translates into english
#14
by ishabrato - opened
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("alirezamsh/small100")
model = AutoModelForSeq2SeqLM.from_pretrained("alirezamsh/small100")
def translate(lang, text):
lang = lang #lang.split(" ")[-1][1:-1]
tokenizer.tgt_lang = lang
encoded_text = tokenizer(text, return_tensors="pt")
generated_tokens = model.generate(**encoded_text)
return tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]
result = translate("Bengali (bn)", "ramu is a good boy")
print(result)
please help