Instructions to use MeetK/software_req_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MeetK/software_req_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MeetK/software_req_model") model = AutoModelForSeq2SeqLM.from_pretrained("MeetK/software_req_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ba08ebf1fb9587282157e2aae646f54f509041ab73e92370c93dd1cb0b3bda2
- Size of remote file:
- 242 MB
- SHA256:
- b6dfa238391619290b062db761c908bda235cea742dccbc0147daa873356f149
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