Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use sk01/DataFeed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sk01/DataFeed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sk01/DataFeed")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sk01/DataFeed") model = AutoModelForSequenceClassification.from_pretrained("sk01/DataFeed", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- runs/Feb26_02-29-53_547b1afba554/events.out.tfevents.1677378599.547b1afba554.850.4 +2 -2
- runs/Feb26_02-37-14_547b1afba554/1677379039.7541127/events.out.tfevents.1677379039.547b1afba554.850.7 +3 -0
- runs/Feb26_02-37-14_547b1afba554/events.out.tfevents.1677379039.547b1afba554.850.6 +3 -0
- training_args.bin +1 -1
pytorch_model.bin
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