Token Classification
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Instructions to use danieladeeko/finetuned_gpt2_model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danieladeeko/finetuned_gpt2_model2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="danieladeeko/finetuned_gpt2_model2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("danieladeeko/finetuned_gpt2_model2") model = AutoModelForTokenClassification.from_pretrained("danieladeeko/finetuned_gpt2_model2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb35e179e54f3fd5478ef865c1ce84b568649012ea1e0000a7d212b0f35c2d55
- Size of remote file:
- 498 MB
- SHA256:
- 1436e7c19d88dd41e75fea56a7ec9b2e65317499943c31593f6f15f9a6080e0b
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