Instructions to use PeterJ0/alpaca-projectdiscovery-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PeterJ0/alpaca-projectdiscovery-small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PeterJ0/alpaca-projectdiscovery-small") model = AutoModelForSeq2SeqLM.from_pretrained("PeterJ0/alpaca-projectdiscovery-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 148a9ee4e7bc5b650e0730f69e646cb9c4bd0c13997a50496ee58d68548dae62
- Size of remote file:
- 308 MB
- SHA256:
- 599c9b2792cd280b63f114b117685a6b91e6c666d25073ffed9990bf2a5c4db1
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