Text Classification
Transformers
TensorBoard
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use KalaiselvanD/albert_model_03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KalaiselvanD/albert_model_03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KalaiselvanD/albert_model_03")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KalaiselvanD/albert_model_03") model = AutoModelForSequenceClassification.from_pretrained("KalaiselvanD/albert_model_03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from KalaiselvanD/albert_model_03: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/KalaiselvanD/albert_model_03/resolve/main/training_args.bin
- Command line
-
hf download hf://KalaiselvanD/albert_model_03/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/KalaiselvanD/albert_model_03/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 72cdf8bb984e4dc3a3b95c24ab2cfc24fd6842ebe9cd71d93591b9653ca5e34d
- Size of remote file:
- 4.92 kB
- SHA256:
- 3676c28addf7238faebfe119569a4b6b7717d4591ceba6665a2f5feebe6440e4
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