[DOCS] Adding the layers cookbook to various parts of our documentation

[ariG23498]

This PR is intended on adding the layers cookbook to various parts of our documentation.

I have just added the link to the colab notebook on the layers.md file. Please feel free to suggest other additions.

CC: @sayakpaul @danieldk @stevhliu

[github-actions]

Hi @ariG23498, thanks for your interest in contributing!

This project requires that pull request authors are vouched, and you are not in the list of vouched users.

This PR will be closed automatically. See https://github.com/huggingface/kernels/blob/main/CONTRIBUTING.md for more details.

[HuggingFaceDocBuilderDev]

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

[sayakpaul]

Will let @stevhliu handle the reviews for this one.

[github-actions]

Coverage report — kernels/

Measured on: Python 3.10 / Torch 2.13.0.
Other CI configurations are not included in this number.
Hardware-gated code paths (ROCm/XPU/NPU/Darwin/Windows) are excluded or unreachable on the Linux+CUDA runner.

Total coverage: 87.5% — threshold: 80% — ✅

Per-file breakdown

Name	Stmts	Miss	Cover	Missing
src/kernels/__init__.py	14	0	100%
src/kernels/_system.py	6	1	83%	10
src/kernels/_versions.py	130	14	89%	53, 59-60, 63-64, 102, 165-170, 199, 219
src/kernels/archs.py	56	1	98%	94
src/kernels/backends.py	214	62	71%	42, 46, 50-53, 70, 92, 110, 119, 123, 127-129, 150, 159, 163, 167-169, 190, 201, 203, 210-213, 222, 226, 230-250, 258, 281-301
src/kernels/compat.py	9	1	89%	5
src/kernels/deps.py	70	1	99%	56
src/kernels/hf_hub.py	63	2	97%	21, 23
src/kernels/importer.py	44	5	89%	80, 84, 87, 101-102
src/kernels/install.py	21	7	67%	76-100
src/kernels/layer/__init__.py	6	0	100%
src/kernels/layer/_interval_tree.py	103	4	96%	23, 52, 147, 150
src/kernels/layer/device.py	48	14	71%	42, 47-49, 91, 96-98, 101, 149, 152, 155-157
src/kernels/layer/func.py	85	6	93%	90, 115, 191, 311, 338, 368
src/kernels/layer/globals.py	5	0	100%
src/kernels/layer/kernelize.py	82	8	90%	259, 297, 305-306, 312, 316, 332-334
src/kernels/layer/layer.py	309	22	93%	211, 258, 285, 416, 437, 444-447, 453-454, 556-557, 578, 586, 597, 637, 641, 654, 708, 738, 813
src/kernels/layer/mode.py	14	0	100%
src/kernels/layer/repos.py	144	42	71%	27, 33, 36-43, 63-64, 70, 73-76, 90, 94, 103-104, 110, 113-116, 123-124, 130, 133-136, 143-144, 150, 153-156, 163-164, 170, 173-176, 257
src/kernels/load.py	71	2	97%	338, 378
src/kernels/locking.py	89	64	28%	35-83, 91-98, 102-125, 137, 152-159, 165-175, 179-186
src/kernels/python_deps.py	58	6	90%	59-60, 64-65, 101, 104
src/kernels/resolver.py	158	1	99%	231
src/kernels/status.py	50	2	96%	25, 79
src/kernels/validate.py	88	5	94%	9, 100, 167, 190-191
src/kernels/variants.py	278	17	94%	65, 96, 117, 147, 256-257, 299-302, 304, 388-394, 400-406, 455-461
src/kernels/verify.py	127	6	95%	46, 202-204, 318-319
TOTAL	2342	293	87%

Updated by the Test kernels workflow on commit e3db0838bf17267ad27302101b997d3a48cdac55.

[stevhliu]

thanks, lgtm!

[stevhliu]

Suggested change

	> If you want to understand the concepts of kernel layers more interactively
	> here is a [cookbook just for that purpose](https://colab.research.google.com/github/huggingface/kernels/blob/main/examples/cookbook/use_layers.ipynb)
	> Open the [Kernelize your model with ease](https://colab.research.google.com/github/huggingface/kernels/blob/main/examples/cookbook/use_layers.ipynb) notebook to build a kernel, replace a layer definition, and use a kernel layer with functions.