Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use NurErtug/crowd_sourced_web_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NurErtug/crowd_sourced_web_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NurErtug/crowd_sourced_web_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NurErtug/crowd_sourced_web_classifier") model = AutoModelForSequenceClassification.from_pretrained("NurErtug/crowd_sourced_web_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 316
Browse files- model.safetensors +1 -1
- runs/Nov25_11-24-44_tsf-508-wpa-1-223.epfl.ch/events.out.tfevents.1764066286.tsf-508-wpa-1-223.epfl.ch.6615.0 +2 -2
- runs/Nov25_11-32-59_tsf-508-wpa-1-223.epfl.ch/events.out.tfevents.1764066781.tsf-508-wpa-1-223.epfl.ch.6855.0 +3 -0
- runs/Nov25_11-39-59_tsf-508-wpa-1-223.epfl.ch/events.out.tfevents.1764067200.tsf-508-wpa-1-223.epfl.ch.7107.0 +3 -0
- training_args.bin +1 -1
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