Text Classification
Transformers
Safetensors
distilbert
binary-classification
cybersecurity
wireshark
huggingface
text-embeddings-inference
Instructions to use TanmaySK/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TanmaySK/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TanmaySK/results")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TanmaySK/results") model = AutoModelForSequenceClassification.from_pretrained("TanmaySK/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TanmaySK/results: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/TanmaySK/results/resolve/main/training_args.bin
- Command line
-
hf download hf://TanmaySK/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TanmaySK/results/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 60b1c7b449594990c7003f121ad5691b99ef4fcef63f5cdc5495ddd8d7f374e7
- Size of remote file:
- 5.3 kB
- SHA256:
- 485f6eeae46609f7aba4e074da1e01b5c8db84ead67c778f43f4ff19e22a38ed
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