Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use ANAS12345Nouri/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ANAS12345Nouri/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ANAS12345Nouri/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ANAS12345Nouri/results") model = AutoModelForSequenceClassification.from_pretrained("ANAS12345Nouri/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ANAS12345Nouri/results: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/ANAS12345Nouri/results/resolve/main/training_args.bin
- Command line
-
hf download hf://ANAS12345Nouri/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ANAS12345Nouri/results/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- a84dcb720036b77d47305a84cd9a8fbc17feaffd57ce033607432bdc7d613358
- Size of remote file:
- 5.3 kB
- SHA256:
- 65ec582263893db9a19b1aa9e03f08f407b8a818626cb3072f10234567c11a6a
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