Instructions to use Porameht/bert-base-th-cased-intent-booking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Porameht/bert-base-th-cased-intent-booking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Porameht/bert-base-th-cased-intent-booking")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Porameht/bert-base-th-cased-intent-booking") model = AutoModelForSequenceClassification.from_pretrained("Porameht/bert-base-th-cased-intent-booking") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files
README.md
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library_name: transformers
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license: apache-2.0
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base_model: Geotrend/bert-base-th-cased
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: bert-base-th-cased-intent-booking
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results: []
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---
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base_model: Geotrend/bert-base-th-cased
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library_name: transformers
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license: apache-2.0
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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tags:
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- generated_from_trainer
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model-index:
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- name: bert-base-th-cased-intent-booking
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results: []
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