Text Classification
Transformers
PyTorch
TensorBoard
English
Thai
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Timothy1337/finetuning-sentiment-all_df with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Timothy1337/finetuning-sentiment-all_df with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Timothy1337/finetuning-sentiment-all_df")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Timothy1337/finetuning-sentiment-all_df") model = AutoModelForSequenceClassification.from_pretrained("Timothy1337/finetuning-sentiment-all_df", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Parent(s): e1ba599
Update README.md
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README.md
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pipeline_tag: text-classification
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widget:
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- text: "ไปเลยยยย 555 โคตรคุ้มมมมค่า"
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- text: "ยาบ้าโทษประหารนะครับ"
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- text: "จับบุหรี่ไฟฟ้า ยึดรถ????"
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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pipeline_tag: text-classification
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widget:
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- text: "ไปเลยยยย 555 โคตรคุ้มมมมค่า"
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example: "pos"
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- text: "ยาบ้าโทษประหารนะครับ"
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example: "neu"
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- text: "จับบุหรี่ไฟฟ้า ยึดรถ????"
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example: "neg"
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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