# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
tokenizer = AutoTokenizer.from_pretrained("Swekerr/eng2hindi")
model = AutoModelForSeq2SeqLM.from_pretrained("Swekerr/eng2hindi")Quick Links
Model Card for Model ID
A English to Hindi Translation Model.
Model Details
Model Description
This is the model card of a 🤗 transformers model that has been pushed on the Hub.
- Developed by: Swekerr
- Model type: Translation
- Language(s) (NLP): [More Information Needed]
Model Sources [optional]
How to Get Started with the Model
Use the code below to get started with the model.
from transformers import pipeline
checkpoint = "Swekerr/eng2hindi"
translate = pipeline("translation", model=checkpoint)
translate("Failure is the pillar of success")
>>> [{'translation_text': 'असफलता सफलता का स्तम्भ है।'}]
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# 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="Swekerr/eng2hindi")