Instructions to use dzinampini/api_endpoint_extractor2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dzinampini/api_endpoint_extractor2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("dzinampini/api_endpoint_extractor2") model = AutoModelForSeq2SeqLM.from_pretrained("dzinampini/api_endpoint_extractor2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3721767152b30f7a17b6f2f0b354b1b104e6663815455ea459d14f319108bdcb
- Size of remote file:
- 439 MB
- SHA256:
- a6adeae0e59851ecc146f74e9ded458ba72d95b150405d8b52f15f23b38cbe57
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