Text Classification
Transformers
PyTorch
Safetensors
Portuguese
llama
hate-speech
text-embeddings-inference
Instructions to use nicholasKluge/TeenyTinyLlama-460m-AgNews with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicholasKluge/TeenyTinyLlama-460m-AgNews with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nicholasKluge/TeenyTinyLlama-460m-AgNews")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nicholasKluge/TeenyTinyLlama-460m-AgNews") model = AutoModelForSequenceClassification.from_pretrained("nicholasKluge/TeenyTinyLlama-460m-AgNews") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6ef19d4e1deb65f10ddc648a03bf02a98b2ab38aa2abafeeb6aef3b0088f4607
- Size of remote file:
- 1.74 GB
- SHA256:
- 2d1f18436df325e1f8d49012621489e2556c407fe662a5c96140e009d7726f7d
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