Loading metrics that are shipped with the evaluate package is slow

Loading metrics that are shipped with the evaluate package takes way too long to load, up to or more than a second whereas I expect it to be near instant.

Repro:
Run the following in a jupyter notebook:
`import evaluate`

```
%%prun
evaluate.load("accuracy")
```

This outputs the following, suggesting that even for this metric that is available in the package [itself ](https://github.com/huggingface/evaluate/blob/main/metrics/accuracy/accuracy.py)it sets up all kinds of communication with the HF hub:
```
22184 function calls (21809 primitive calls) in 1.351 seconds

Ordered by: internal time

ncalls tottime percall cumtime percall filename:lineno(function)
2 0.643 0.322 0.643 0.322 {method 'load_verify_locations' of '_ssl._SSLContext' objects}
2 0.240 0.120 0.240 0.120 {method 'read' of '_ssl._SSLSocket' objects}
2 0.223 0.112 0.223 0.112 {method 'do_handshake' of '_ssl._SSLSocket' objects}
2 0.145 0.073 0.145 0.073 {method 'connect' of '_socket.socket' objects}
2 0.038 0.019 0.038 0.019 {built-in method _socket.getaddrinfo}
80 0.009 0.000 0.009 0.000 {built-in method nt.stat}
45 0.006 0.000 0.006 0.000 {built-in method __new__ of type object at 0x00007FF81939AD50}

```