Instructions to use snoopd/distilbert-base-uncased-lora-text-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use snoopd/distilbert-base-uncased-lora-text-classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("distilbert-base-uncased") model = PeftModel.from_pretrained(base_model, "snoopd/distilbert-base-uncased-lora-text-classification") - Transformers
How to use snoopd/distilbert-base-uncased-lora-text-classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("snoopd/distilbert-base-uncased-lora-text-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 321882291205b2e613ab1003b3ac4130c49f5b47a80446714c8379ab4e40c6ee
- Size of remote file:
- 5.78 kB
- SHA256:
- 6fe6280e448d8fc347c877298f620a96353d849c198261acadbadacb30f455de
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