Text Classification
Transformers
ONNX
Safetensors
MLX
English
tamev
decision-model
decision-engine
llm-router
router
option-selection
intent-routing
tool-call-gating
agent-routing
system-one
multiple-choice
multiclass-classification
safety-guardrails
guardrails
calibration
probability-calibration
temperature-scaling
brier-score
expected-calibration-error
typesafe
jev-alternative
kev-alternative
edge-ai
offline-inference
tinybert
permutation-invariant
permutation-equivariant
onnxruntime
cpu-inference
onnx-int8
quantized
mps
torchscript
apple-silicon
metal
custom_code
Eval Results (legacy)
Instructions to use Tamkimd/tamev-nano-tinybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tamkimd/tamev-nano-tinybert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tamkimd/tamev-nano-tinybert", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tamkimd/tamev-nano-tinybert", trust_remote_code=True, device_map="auto") - MLX
How to use Tamkimd/tamev-nano-tinybert with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Tamkimd/tamev-nano-tinybert --local-dir tamev-nano-tinybert
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download model.torchscript from Tamkimd/tamev-nano-tinybert: direct link, hf CLI and curl.
- Browser
- Download file 57.7 MB
-
https://huggingface.co/Tamkimd/tamev-nano-tinybert/resolve/main/model.torchscript
- Command line
-
hf download hf://Tamkimd/tamev-nano-tinybert/model.torchscript
-
curl -L -o model.torchscript https://huggingface.co/Tamkimd/tamev-nano-tinybert/resolve/main/model.torchscript
57.7 MB
- Xet hash:
- d2f842b4b8227f404a5a13c1841220a5955f593912bb224973dfb7030796a670
- Size of remote file:
- 57.7 MB
- SHA256:
- 0e132aed89106bcdb09771d61939258880bfe2061ef5058296ea437e108c282a
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