Transformers
Safetensors
English
t5
text2text-generation
interview-questions
question-generation
hr-tech
text-generation-inference
Instructions to use sudaisdev/Question_Generation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sudaisdev/Question_Generation_model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sudaisdev/Question_Generation_model") model = AutoModelForSeq2SeqLM.from_pretrained("sudaisdev/Question_Generation_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from sudaisdev/Question_Generation_model: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/sudaisdev/Question_Generation_model/resolve/main/model.safetensors
- Command line
-
hf download hf://sudaisdev/Question_Generation_model/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/sudaisdev/Question_Generation_model/resolve/main/model.safetensors
990 MB
- Xet hash:
- 86e5b6fe737164d16b98d74a257dacd72c7b14ea721f1f458e1352a5371c75bb
- Size of remote file:
- 990 MB
- SHA256:
- 192b356551a78bb60dbc24bc34b534bf9f1a98d4138a2d83dfb9a8f6d85d7772
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.