Laurent Mazare 1e86717bf2 Fix a couple typos (#1451) ...

* Mixtral quantized instruct.

* Fix a couple typos.

2023-12-17 05:20:05 -06:00

..

bert

Speed up bert with approx gelu (#1410)

2023-12-06 17:46:37 +01:00

bigcode

Adapt more examples to the updated safetensor api. (#947)

2023-09-23 21:26:03 +01:00

blip

Add a KV cache to marian decoding. (#1226)

2023-10-31 08:47:44 +00:00

convmixer

Convmixer example (#1074)

2023-10-11 19:51:10 +01:00

custom-ops

Remove some dead-code annotations. (#629)

2023-08-27 18:52:33 +01:00

dinov2

Adapt more examples to the updated safetensor api. (#947)

2023-09-23 21:26:03 +01:00

distilbert

Distibert (#1366)

2023-11-24 15:09:14 +00:00

efficientnet

Adapt more examples to the updated safetensor api. (#947)

2023-09-23 21:26:03 +01:00

falcon

Adapt more examples to the updated safetensor api. (#947)

2023-09-23 21:26:03 +01:00

jina-bert

Use the hub model file when possible. (#1190)

2023-10-26 20:00:50 +01:00

llama

Adapt more examples to the updated safetensor api. (#947)

2023-09-23 21:26:03 +01:00

llama2-c

Infer the config for llama2-c. (#1208)

2023-10-28 19:00:39 +01:00

llama_multiprocess

Self-contained safetensors for the multiprocess llama example. (#950)

2023-09-24 06:54:49 +01:00

marian-mt

Add a KV cache to marian decoding. (#1226)

2023-10-31 08:47:44 +00:00

mistral

Quantized version of mistral. (#1009)

2023-09-30 18:25:47 +01:00

mixtral

Add the Mixtral model. (#1437)

2023-12-15 14:19:56 -06:00

mnist-training

Allow for different behavior between training and eval (#1213)

2023-10-29 07:53:09 +01:00

musicgen

Support for timegroupnorm in encodec. (#1291)

2023-11-07 22:39:59 +01:00

onnx

Add more models to the onnx example. (#1273)

2023-11-05 16:57:26 +01:00

phi

Tweak the readme for phi and the default sample length. (#1450)

2023-12-16 18:11:36 -06:00

quantized

Mixtral quantized instruct. (#1447)

2023-12-16 16:16:39 -06:00

quantized-t5

Add info about MADLAD-400 in readme files (#1287)

2023-11-07 15:21:59 +01:00

reinforcement-learning

Fix a couple typos (#1451)

2023-12-17 05:20:05 -06:00

replit-code

Add the quantized mpt model. (#1123)

2023-10-18 16:29:38 +01:00

resnet

Expose the larger resnets (50/101/152) in the example. (#1131)

2023-10-19 13:48:28 +01:00

segment-anything

Add negative prompts to segment-anything. (#1000)

2023-09-30 06:17:42 +01:00

stable-diffusion

Add more mentions to SDXL Turbo in the readme. (#1397)

2023-12-03 10:41:21 +00:00

stable-lm

Quantized version of StableLM. (#1058)

2023-10-08 15:42:38 +01:00

t5

Add support to UL2 model family (#1300)

2023-11-09 18:55:09 +01:00

trocr

Update readme.md (#1322)

2023-11-12 09:46:19 +00:00

vgg

Allow for different behavior between training and eval (#1213)

2023-10-29 07:53:09 +01:00

vit

Readme updates. (#1134)

2023-10-20 09:08:39 +01:00

whisper

Use the whisper-v3 tokenizer now that it has been added. (#1337)

2023-11-16 22:10:31 +00:00

wuerstchen

Remove some unusued bits. (#1067)

2023-10-09 19:49:57 +01:00

yi

Use the llama weight names for the Yi example. (#1381)

2023-11-27 20:42:52 +00:00

yolo-v3

Ensure to copy data to cpu before iterating. (#1360)

2023-11-23 07:24:25 +00:00

yolo-v8

Fix linspace implementation (#1358)

2023-11-23 07:35:13 +00:00

onnx_basics.rs

[ONNX] Support a couple more ops. (#1284)

2023-11-06 22:44:58 +01:00