Instructions to use aakarshan/autotrain-Question-translation-797524592 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aakarshan/autotrain-Question-translation-797524592 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="aakarshan/autotrain-Question-translation-797524592")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("aakarshan/autotrain-Question-translation-797524592") model = AutoModelForSeq2SeqLM.from_pretrained("aakarshan/autotrain-Question-translation-797524592", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from aakarshan/autotrain-Question-translation-797524592: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/aakarshan/autotrain-Question-translation-797524592/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://aakarshan/autotrain-Question-translation-797524592/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/aakarshan/autotrain-Question-translation-797524592/resolve/main/pytorch_model.bin
4.92 GB
- Xet hash:
- 909721815591c7385f78294a0d3bcdb6b703bf3361b47e98da5f9b6a2e833258
- Size of remote file:
- 4.92 GB
- SHA256:
- a152f8ee193c52b14cd48f2f09c199a137bd3c63ea3a9dde7b117a485dcdb898
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.