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 config.json from Falconsai/laya-v796: direct link, hf CLI and curl.
- Browser
- Download file 286 Bytes
-
https://huggingface.co/Falconsai/laya-v796/resolve/main/config.json
- Command line
-
hf download hf://Falconsai/laya-v796/config.json
-
curl -L -o config.json https://huggingface.co/Falconsai/laya-v796/resolve/main/config.json
286 Bytes
| { | |
| "model_type": "unknown", | |
| "num_hidden_layers": 28, | |
| "falconsai.tool": "FALCONS.AI Model Surgeon V7.96", | |
| "falconsai.attn_note": "attention kernel is chosen at load time (e.g. attn_implementation='flash_attention_2' on CUDA/ROCm hosts that have it); nothing in this file selects it" | |
| } |