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tykea
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khmer-text-sentiment-analysis-roberta

Text Classification
Transformers
Safetensors
Khmer
sentiment
Inference Endpoints
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@@ -40,8 +40,8 @@ The model supports a maximum sequence length of 512 tokens.
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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- tokenizer = AutoTokenizer.from_pretrained("Tykea/khmer-text-sentiment-analysis-roberta")
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- model = AutoModelForSequenceClassification.from_pretrained("Tykea/khmer-text-sentiment-analysis-roberta")
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  text = "釣⑨瀭釣会瀻CADT"
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  inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512)
 
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  ```python
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  from transformers import AutoTokenizer, AutoModelForSequenceClassification
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+ tokenizer = AutoTokenizer.from_pretrained("tykea/khmer-text-sentiment-analysis-roberta")
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+ model = AutoModelForSequenceClassification.from_pretrained("tykea/khmer-text-sentiment-analysis-roberta")
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  text = "釣⑨瀭釣会瀻CADT"
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  inputs = tokenizer(text, return_tensors="pt", truncation=True, max_length=512)