Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use wildercb/reddit-title-sa-3000-samples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wildercb/reddit-title-sa-3000-samples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="wildercb/reddit-title-sa-3000-samples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("wildercb/reddit-title-sa-3000-samples") model = AutoModelForSequenceClassification.from_pretrained("wildercb/reddit-title-sa-3000-samples") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:7254dadaf7c0ae89a1e96bc4cf71d3e985a8b2ee8e70eb13373b5c08a9414c05
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size 267832560
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