Text Classification
Transformers
Safetensors
Thai
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Porameht/bert-intent-customer-support-th with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Porameht/bert-intent-customer-support-th with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Porameht/bert-intent-customer-support-th")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Porameht/bert-intent-customer-support-th") model = AutoModelForSequenceClassification.from_pretrained("Porameht/bert-intent-customer-support-th", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 547d72af28d3a843eb38b753633b31720383fc12c73befaf59e05c37f69392c3
- Size of remote file:
- 4.98 kB
- SHA256:
- 6fea6bc200627f24de74e9d30642e6bdb4f4617636c1586b85127fb98d22fd50
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