Token Classification
Transformers
Safetensors
llama
Generated from Trainer
text-generation-inference
Instructions to use mtzig/tinyllama_run with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mtzig/tinyllama_run with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mtzig/tinyllama_run")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mtzig/tinyllama_run") model = AutoModelForTokenClassification.from_pretrained("mtzig/tinyllama_run") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91bf184ab12793d0754344f9095332759432e666320cc6c07f637af50e36db6f
- Size of remote file:
- 500 kB
- SHA256:
- 9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
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