Instructions to use Elegbede/Distilbert_FInetuned_For_Text_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Elegbede/Distilbert_FInetuned_For_Text_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Elegbede/Distilbert_FInetuned_For_Text_Classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Elegbede/Distilbert_FInetuned_For_Text_Classification") model = AutoModelForSequenceClassification.from_pretrained("Elegbede/Distilbert_FInetuned_For_Text_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Elegbede/Distilbert_FInetuned_For_Text_Classification: direct link, hf CLI and curl.
- Browser
- Download file 372 Bytes
-
https://huggingface.co/Elegbede/Distilbert_FInetuned_For_Text_Classification/resolve/ee8c7e004053032c1abfd1036d0d3dfce43fb7d4/tokenizer_config.json
- Command line
-
hf download hf://Elegbede/Distilbert_FInetuned_For_Text_Classification@ee8c7e004053032c1abfd1036d0d3dfce43fb7d4/tokenizer_config.json
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curl -L -o tokenizer_config.json https://huggingface.co/Elegbede/Distilbert_FInetuned_For_Text_Classification/resolve/ee8c7e004053032c1abfd1036d0d3dfce43fb7d4/tokenizer_config.json
372 Bytes
| { | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": true, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 512, | |
| "never_split": null, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "DistilBertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |