Text Classification
PEFT
Joblib
ONNX
Safetensors
Transformers
English
distilbert
lora
text-embeddings-inference
Instructions to use iam-tsr/feedback-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use iam-tsr/feedback-classifier with PEFT:
Task type is invalid.
- Transformers
How to use iam-tsr/feedback-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="iam-tsr/feedback-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("iam-tsr/feedback-classifier") model = AutoModelForSequenceClassification.from_pretrained("iam-tsr/feedback-classifier") - Notebooks
- Google Colab
- Kaggle
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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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model-index:
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datasets:
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- iam-tsr/employ_fdbk
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language:
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- en
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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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