Text Classification
Transformers
TensorBoard
Safetensors
llama
Generated from Trainer
text-embeddings-inference
Instructions to use Q-bert/llama-imdb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Q-bert/llama-imdb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Q-bert/llama-imdb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Q-bert/llama-imdb") model = AutoModelForSequenceClassification.from_pretrained("Q-bert/llama-imdb") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13403bec49904e0895c7ddcd8d56865cf443a9a4e9d2dff21e6cc5915067a747
- Size of remote file:
- 5.3 kB
- SHA256:
- 5184152a918dbc9a02994b70ace202c6fe0e17ec1151f29b18e3048afcaf3ddd
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