Download code/models/autoports/google_embeddinggemma_2/tt/functional_decoder.py from tt-hous/embeddinggemma-2: direct link, hf CLI and curl.
- Browser
- Download file 402 Bytes
-
https://huggingface.co/tt-hous/embeddinggemma-2/resolve/main/code/models/autoports/google_embeddinggemma_2/tt/functional_decoder.py
- Command line
-
hf download hf://tt-hous/embeddinggemma-2/code/models/autoports/google_embeddinggemma_2/tt/functional_decoder.py
-
curl -L -o functional_decoder.py https://huggingface.co/tt-hous/embeddinggemma-2/resolve/main/code/models/autoports/google_embeddinggemma_2/tt/functional_decoder.py
402 Bytes
| # SPDX-FileCopyrightText: © 2026 Tenstorrent USA, Inc. | |
| # SPDX-License-Identifier: Apache-2.0 | |
| from models.autoports.google_embeddinggemma_2.tt.functional_encoder_layer import FunctionalEncoderLayer | |
| class FunctionalDecoder(FunctionalEncoderLayer): | |
| def prefill_forward(self, hidden, per_layer_input, attn_mask, cos, sin): | |
| return self.forward(hidden, per_layer_input, attn_mask, cos, sin) | |