Instructions to use Fynd/llamav2_intent_entity_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Fynd/llamav2_intent_entity_test with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-13b-chat-hf") model = PeftModel.from_pretrained(base_model, "Fynd/llamav2_intent_entity_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6537d584d4d584cef684a715200dfb1c7a8b036ab3f3d6c6abba1ac5780cdfff
- Size of remote file:
- 52.5 MB
- SHA256:
- 4a1c9ad4daecdb69bff5cd84df05d312b8f35867aa015049afc2c4266d1d23ac
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