Instructions to use Kaustubh12345/llama_sequence_classification_1e-05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Kaustubh12345/llama_sequence_classification_1e-05 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "Kaustubh12345/llama_sequence_classification_1e-05") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Kaustubh12345/llama_sequence_classification_1e-05: direct link, hf CLI and curl.
- Browser
- Download file 17.2 MB
-
https://huggingface.co/Kaustubh12345/llama_sequence_classification_1e-05/resolve/main/tokenizer.json
- Command line
-
hf download hf://Kaustubh12345/llama_sequence_classification_1e-05/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Kaustubh12345/llama_sequence_classification_1e-05/resolve/main/tokenizer.json
17.2 MB
- Xet hash:
- 421fcbe75e5dcafe516cad31468b85e8d5874f271f5a6a50845278eb8fd0b6bb
- Size of remote file:
- 17.2 MB
- SHA256:
- 8455cd05329f9cb9895e200605934b714e7fc55873b9969c77d1c3c01ccc60e0
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