Text Classification
Transformers
Safetensors
llama
multi-label
question-answering
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use saiteki-kai/QA-Llama-3.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saiteki-kai/QA-Llama-3.1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saiteki-kai/QA-Llama-3.1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saiteki-kai/QA-Llama-3.1") model = AutoModelForSequenceClassification.from_pretrained("saiteki-kai/QA-Llama-3.1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b639b9ebb14b728e37ccdcd12171663751411c5894eb627ff247c7521efa651
- Size of remote file:
- 7.83 kB
- SHA256:
- 552bd7bfd9e978367315c2d0a2b225c576f3579efb47cc50bd4331405ac00c9b
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