Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use heyal/finetuning-sentiment-model-5000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use heyal/finetuning-sentiment-model-5000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="heyal/finetuning-sentiment-model-5000-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("heyal/finetuning-sentiment-model-5000-samples") model = AutoModelForSequenceClassification.from_pretrained("heyal/finetuning-sentiment-model-5000-samples") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f3bc12e667eaff198d853c631502281630dc70c5388834a69836370f09f950b
- Size of remote file:
- 3.45 kB
- SHA256:
- bfcb9b0cfe892fa95aeda3801cf94ae5ff14bb1964b98ad226f258a79704929f
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