Text Classification
Transformers
Safetensors
English
granite
text-generation
docket
typed-decisions
decision-model
system-one
classification
enterprise
agents
Instructions to use shahjenil/Docket-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shahjenil/Docket-3B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shahjenil/Docket-3B")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("shahjenil/Docket-3B") model = AutoModelForCausalLM.from_pretrained("shahjenil/Docket-3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from shahjenil/Docket-3B: direct link, hf CLI and curl.
- Browser
- Download file 7.15 MB
-
https://huggingface.co/shahjenil/Docket-3B/resolve/main/tokenizer.json
- Command line
-
hf download hf://shahjenil/Docket-3B/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/shahjenil/Docket-3B/resolve/main/tokenizer.json
7.15 MB
File too large to display, you can check the raw version instead.