Transformers
Safetensors
Laya
system-one
calibrated-decisions
rlcd
structured-decisions
typed-decisions
benchmark
glendesk
call-analysis
Eval Results (legacy)
Instructions to use fcelabs/laya-glendesk-issues with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fcelabs/laya-glendesk-issues with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fcelabs/laya-glendesk-issues", device_map="auto") - Laya
How to use fcelabs/laya-glendesk-issues with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download tokenizer/tokenizer.json from fcelabs/laya-glendesk-issues: direct link, hf CLI and curl.
- Browser
- Download file 3.58 MB
-
https://huggingface.co/fcelabs/laya-glendesk-issues/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://fcelabs/laya-glendesk-issues/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/fcelabs/laya-glendesk-issues/resolve/main/tokenizer/tokenizer.json
3.58 MB
File too large to display, you can check the raw version instead.