Pipelines: miscellanea of QoL improvements and small features... (#4632)

* [hf_api] Attach all unknown attributes for future-proof compatibility

* [Pipeline] NerPipeline is really a TokenClassificationPipeline

* modelcard.py: I don't think we need to force the download

* Remove config, tokenizer from SUPPORTED_TASKS as we're moving to one model = one weight + one tokenizer

* FillMaskPipeline: also output token in string form

* TextClassificationPipeline: option to return all scores, not just the argmax

* Update docs/source/main_classes/pipelines.rst

src/transformers/modelcard.py

@@ -149,9 +149,7 @@ class ModelCard:
 
         try:
             # Load from URL or cache if already cached
-            resolved_model_card_file = cached_path(
-                model_card_file, cache_dir=cache_dir, force_download=True, proxies=proxies, resume_download=False
-            )
+            resolved_model_card_file = cached_path(model_card_file, cache_dir=cache_dir, proxies=proxies)
             if resolved_model_card_file is None:
                 raise EnvironmentError
             if resolved_model_card_file == model_card_file: