Text Classification
Transformers
GGUF
Laya
unknown
system-one
calibrated-decisions
rlcd
classification
routing
scoring
guardrails
moderation
reinforcement-learning
commercial-use
falconsai
model-surgeon
attested-lineage
Instructions to use Falconsai/laya-v796 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falconsai/laya-v796 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Falconsai/laya-v796")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Falconsai/laya-v796", device_map="auto") - Laya
How to use Falconsai/laya-v796 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 surgery_log.json from Falconsai/laya-v796: direct link, hf CLI and curl.
- Browser
- Download file 320 Bytes
-
https://huggingface.co/Falconsai/laya-v796/resolve/main/surgery_log.json
- Command line
-
hf download hf://Falconsai/laya-v796/surgery_log.json
-
curl -L -o surgery_log.json https://huggingface.co/Falconsai/laya-v796/resolve/main/surgery_log.json
320 Bytes
| { | |
| "copyright": "\u00a9 2026 FALCONS.AI", | |
| "log": [ | |
| { | |
| "op": "load", | |
| "detail": "hub:Falconsai/laya-v795/model_edited.safetensors (842.6 MB, safetensors)", | |
| "t": 1790215665.9418728, | |
| "vitals": { | |
| "params": 421293938, | |
| "tensors": 207, | |
| "bytes": 842588098 | |
| } | |
| } | |
| ] | |
| } |