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:
- ea6139071c9f4c760267790bcf9d2d86a599ce834247730dbc3d93de122cb1fb
- Size of remote file:
- 5.18 kB
- SHA256:
- 7dd273a88b7d22761a1ab5a95f2d8974a63e1479920c3ce8308dadb5d869891d
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