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Transformers
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option-selection
intent-routing
tool-call-gating
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system-one
multiple-choice
multiclass-classification
safety-guardrails
guardrails
calibration
probability-calibration
temperature-scaling
brier-score
expected-calibration-error
typesafe
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tinybert
permutation-invariant
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onnxruntime
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Eval Results (legacy)
Instructions to use Tamkimd/tamev-nano-flash-tinybert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tamkimd/tamev-nano-flash-tinybert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tamkimd/tamev-nano-flash-tinybert", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tamkimd/tamev-nano-flash-tinybert", trust_remote_code=True, device_map="auto") - MLX
How to use Tamkimd/tamev-nano-flash-tinybert with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Tamkimd/tamev-nano-flash-tinybert --local-dir tamev-nano-flash-tinybert
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Ship the accepted flash head (gate nano_ordtext_wd05_mps_hf) with the runtimes and card re-derived from those bytes
Browse files
README.md
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| **C++ LibTorch (TorchScript)** | [`model.torchscript`](https://huggingface.co/Tamkimd/tamev-nano-flash-tinybert/resolve/main/model.torchscript) | 55.1 MiB |
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> Sizes are the files in this repository, in MiB. ONNX FP16 is a cast of the FP32 graph (not a re-export) at half the download, and picks the same answer on 512 sampled gate items.
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```bash
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hf download Tamkimd/tamev-nano-flash-tinybert --local-dir ./tamev-nano-flash-tinybert
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| **C++ LibTorch (TorchScript)** | [`model.torchscript`](https://huggingface.co/Tamkimd/tamev-nano-flash-tinybert/resolve/main/model.torchscript) | 55.1 MiB |
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> Sizes are the files in this repository, in MiB. ONNX FP16 is a cast of the FP32 graph (not a re-export) at half the download, and picks the same answer on 512 sampled gate items.
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> The Hub marks this file **Suspicious** (Protect AI `PAIT-TCHST-301`): a TorchScript archive is a ZIP of pickles, so the container alone puts every one of them in scope for a code-execution finding, whatever is inside — the same scan passes this repository's `model_mps_fp16.pt`, which is a real pickle. This one was audited statically rather than loaded: all 101 callables across 3 pickle members are `torch` types, and the 80 TorchScript source files (77,598 characters) contain no file, process or network primitive and no custom operators. The audit disassembles the pickles rather than loading them, so running it cannot execute what it inspects, and it ships with the source distribution. The file it covers is sha256 `6d469ef4cb7e`.
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```bash
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hf download Tamkimd/tamev-nano-flash-tinybert --local-dir ./tamev-nano-flash-tinybert
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