Text Classification
Transformers
Safetensors
English
French
distilbert
document-classification
document-ai
business-documents
companydocs
distilmbert
finance
logistics
Eval Results (legacy)
text-embeddings-inference
Instructions to use AyoubChLin/DistilmBERT-CompanyDocs-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AyoubChLin/DistilmBERT-CompanyDocs-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AyoubChLin/DistilmBERT-CompanyDocs-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AyoubChLin/DistilmBERT-CompanyDocs-v2") model = AutoModelForSequenceClassification.from_pretrained("AyoubChLin/DistilmBERT-CompanyDocs-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from AyoubChLin/DistilmBERT-CompanyDocs-v2: direct link, hf CLI and curl.
- Browser
- Download file 2.92 MB
-
https://huggingface.co/AyoubChLin/DistilmBERT-CompanyDocs-v2/resolve/main/tokenizer.json
- Command line
-
hf download hf://AyoubChLin/DistilmBERT-CompanyDocs-v2/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/AyoubChLin/DistilmBERT-CompanyDocs-v2/resolve/main/tokenizer.json
2.92 MB
File too large to display, you can check the raw version instead.