Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use sitthichokpaugchan/finetuned-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sitthichokpaugchan/finetuned-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sitthichokpaugchan/finetuned-bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sitthichokpaugchan/finetuned-bert") model = AutoModelForSequenceClassification.from_pretrained("sitthichokpaugchan/finetuned-bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 063899c53b251ac2936eb5dfa61e4408818c9044136826de27496d77ebaa0679
- Size of remote file:
- 3.9 kB
- SHA256:
- 98333ecec050323a4fe52067222cbfa4d1ccc68dddd4e6c0790b3bd5e86f5754
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