Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use AmnaShafaq/finetuning-sentiment-model-3000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AmnaShafaq/finetuning-sentiment-model-3000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AmnaShafaq/finetuning-sentiment-model-3000-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AmnaShafaq/finetuning-sentiment-model-3000-samples") model = AutoModelForSequenceClassification.from_pretrained("AmnaShafaq/finetuning-sentiment-model-3000-samples", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2571dccb195094711a5bac032e446b9e3042da849ec1b586498bdeb1a9248e39
- Size of remote file:
- 4.92 kB
- SHA256:
- 9c9aed228a6337377e8ca0782005704b2ea9a8d9ab1158463069bec1150e0d5c
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