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 604
Browse files- model.safetensors +1 -1
- runs/Dec01_17-21-48_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764606108.tsf-508-wpa-6-167.epfl.ch.3594.0 +2 -2
- runs/Dec01_17-25-24_tsf-508-wpa-6-167.epfl.ch/events.out.tfevents.1764606324.tsf-508-wpa-6-167.epfl.ch.3594.1 +3 -0
- runs/Dec02_10-25-50_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764667551.tsf-508-wpa-2-088.epfl.ch.1560.0 +3 -0
- runs/Dec02_10-30-36_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764667836.tsf-508-wpa-2-088.epfl.ch.1560.1 +3 -0
- runs/Dec02_11-24-15_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764671056.tsf-508-wpa-2-088.epfl.ch.2839.0 +3 -0
- runs/Dec02_13-17-43_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764677863.tsf-508-wpa-2-088.epfl.ch.4377.0 +3 -0
- runs/Dec02_13-56-15_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764680175.tsf-508-wpa-2-088.epfl.ch.5353.0 +3 -0
- runs/Dec02_14-04-29_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764680669.tsf-508-wpa-2-088.epfl.ch.5610.0 +3 -0
- runs/Dec02_14-24-39_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764681879.tsf-508-wpa-2-088.epfl.ch.6149.0 +3 -0
- runs/Dec02_14-29-18_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764682159.tsf-508-wpa-2-088.epfl.ch.6326.0 +3 -0
- runs/Dec02_14-37-20_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764682641.tsf-508-wpa-2-088.epfl.ch.6326.1 +3 -0
- runs/Dec02_14-58-20_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764683900.tsf-508-wpa-2-088.epfl.ch.6884.0 +3 -0
- runs/Dec02_15-49-31_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764686971.tsf-508-wpa-2-088.epfl.ch.7451.0 +3 -0
- runs/Dec02_16-03-46_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764687827.tsf-508-wpa-2-088.epfl.ch.7764.0 +3 -0
- runs/Dec02_16-13-18_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764688398.tsf-508-wpa-2-088.epfl.ch.7997.0 +3 -0
- runs/Dec02_16-18-56_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764688737.tsf-508-wpa-2-088.epfl.ch.7997.1 +3 -0
- runs/Dec02_16-33-49_tsf-508-wpa-2-088.epfl.ch/events.out.tfevents.1764689630.tsf-508-wpa-2-088.epfl.ch.7997.2 +3 -0
- training_args.bin +1 -1
model.safetensors
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