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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- da532e60848678d91303cd26215630cd8c84860d53eebd337da06f6495b74b4c
- Size of remote file:
- 5.43 kB
- SHA256:
- 473969e14f41b9124ed5be2668927f55e8ad8847b97e0f5fa9ef96df45fe6be4
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