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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 22df4c0a2ea6137b34f07359f8b5be0de4aa05a7db2e0344a272881b8e698474
- Size of remote file:
- 17.2 MB
- SHA256:
- 0995fb984aad671ef8d4e7a7e91ff38f2b685701c9a7723088abc124a39251b3
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