Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnishArjun/Custom-Arima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnishArjun/Custom-Arima with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnishArjun/Custom-Arima")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnishArjun/Custom-Arima") model = AutoModelForSequenceClassification.from_pretrained("AnishArjun/Custom-Arima", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AnishArjun/Custom-Arima: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/AnishArjun/Custom-Arima/resolve/main/training_args.bin
- Command line
-
hf download hf://AnishArjun/Custom-Arima/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AnishArjun/Custom-Arima/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- ef11a03290137a324c98a891cf8ef7ced32b3aab66927716cebe5e33fc935df8
- Size of remote file:
- 5.37 kB
- SHA256:
- feb076fc68b32246ac2521d529a428edf94ee519c5282d4b7b73fc7786f556a4
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