Token Classification
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Instructions to use danieladeeko/gpt_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danieladeeko/gpt_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="danieladeeko/gpt_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("danieladeeko/gpt_model") model = AutoModelForTokenClassification.from_pretrained("danieladeeko/gpt_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 775d2930da3d8711d03adcbe3ce9f7304bd0f67518de8c641e2de789d0cb1b14
- Size of remote file:
- 5.18 kB
- SHA256:
- a52cf81b84a8b5afc0f7caaca425c9d644f8302bc80bd86f153c287831b410cf
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