Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use muvva/distilbert-base-uncased-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use muvva/distilbert-base-uncased-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="muvva/distilbert-base-uncased-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("muvva/distilbert-base-uncased-finetuned") model = AutoModelForSequenceClassification.from_pretrained("muvva/distilbert-base-uncased-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500
Browse files- model.safetensors +1 -1
- runs/Mar12_19-30-13_e6d43da1298e/events.out.tfevents.1710271860.e6d43da1298e.1429.4 +2 -2
- runs/Mar12_19-30-13_e6d43da1298e/events.out.tfevents.1710272880.e6d43da1298e.1429.5 +3 -0
- runs/Mar12_19-50-49_e6d43da1298e/events.out.tfevents.1710273059.e6d43da1298e.1429.6 +3 -0
- training_args.bin +1 -1
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