Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use knapierk/dream_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knapierk/dream_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="knapierk/dream_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("knapierk/dream_classifier") model = AutoModelForSequenceClassification.from_pretrained("knapierk/dream_classifier") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
pytorch_model.bin
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runs/Jun16_06-47-56_d576ba529ee6/events.out.tfevents.1686898079.d576ba529ee6.3576.5
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training_args.bin
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