Token Classification
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Instructions to use Keetawan/gpt2_aspect_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Keetawan/gpt2_aspect_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Keetawan/gpt2_aspect_base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Keetawan/gpt2_aspect_base") model = AutoModelForTokenClassification.from_pretrained("Keetawan/gpt2_aspect_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6774293449d16f2a16f7a728a7c68bc6bd4585d5e751d5ef2165bd202d19882c
- Size of remote file:
- 5.11 kB
- SHA256:
- 80eb5cf838e6caf97ae26587ef732c538f9c3e88cf01a366e60bebe5ffb12276
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