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")# 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 tokenizer_config.json from TanmaySK/results: direct link, hf CLI and curl.
- Browser
- Download file 1.07 kB
-
https://huggingface.co/TanmaySK/results/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://TanmaySK/results/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/TanmaySK/results/resolve/main/tokenizer_config.json
1.07 kB
| { | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "[PAD]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "[UNK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "[CLS]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "[SEP]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "4": { | |
| "content": "[MASK]", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "clean_up_tokenization_spaces": false, | |
| "extra_special_tokens": {}, | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "[PAD]", | |
| "tokenizer_class": "PreTrainedTokenizer" | |
| } | |