Allow for nightly packages of compressed_tensors

[kylesayrs]

What does this PR do?

This PR follows up on #31704 by allowing the compressed-tensors-nightly package to be used to load compressed tensors modules. This is done by relaxing installation requirements to only require the compressed-tensors module spec, but not the compressed-tensors package.

Compressed Tensors models cannot be loaded with nightly package

from transformers import AutoModel
model = AutoModel.from_pretrained("nm-testing/TinyLlama-1.1B-Chat-v1.0-W8A8_tensor_weight_static_per_tensor_act-e2e")
# ImportError: Using `compressed_tensors` quantized models requires the compressed-tensors library: `pip install compressed-tensors`

Compressed Tensors is reported as unavailable, despite the module being available through the nightly package

from transformers.utils.import_utils import is_compressed_tensors_available
is_compressed_tensors_available()
# False

After the changes, models can be imported with the nightly package and compressed tensors is reported as being available

Who can review?

@SunMarc @ArthurZucker
@dsikka @dhuangnm @andy-neuma
Anyone in the community is free to review the PR once the tests have passed.

[markurtz]

These changes look correct to me. It brings up a separate consideration that we'll need at some point in the future, which is to gather the compressed tensors version so we can compare if there are breaking changes between the config format that is stored with the model and the compressed tensors that is loaded, especially with it loading nightly dev builds

[SunMarc]

LGTM !