Can't download the facebook/bart-large-mnli tensorflow model
Author: mayanb
Pull request: no

Hello! When I try to create a pipeline with the model specified as "facebook/bart-large-mnli" I get a 404 Client Error: Not Found for url: https://huggingface.co/facebook/bart-large-mnli/resolve/main/tf_model.h5
And when I try to go directly to that url I do also notice it throws a 404 error. Any ideas on how to fix this would be greatly appreciated! Thanks!

## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
     Don't forget to fill out the missing fields in that output! -->

- `transformers` version: 4.4.2
- Python version: 3.8.6
- Tensorflow version: 2.2.0
- Using GPU in script?: No
- Using distributed or parallel set-up in script?: No

### Who can help
Models:
blenderbot, bart, marian, pegasus, encoderdecoder,  t5: @patrickvonplaten, @patil-suraj

The code I tried running is:
```python:
from transformers import pipeline
classifier = pipeline('zero-shot-classification', model='facebook/bart-large-mnli')
```

The full error message is:
```
404 Client Error: Not Found for url: https://huggingface.co/facebook/bart-large-mnli/resolve/main/tf_model.h5
---------------------------------------------------------------------------
HTTPError                                 Traceback (most recent call last)
~/Documents/github/econ2355/version2env/lib/python3.8/site-packages/transformers/modeling_tf_utils.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
   1219                 # Load from URL or cache if already cached
-> 1220                 resolved_archive_file = cached_path(
   1221                     archive_file,

~/Documents/github/econ2355/version2env/lib/python3.8/site-packages/transformers/file_utils.py in cached_path(url_or_filename, cache_dir, force_download, proxies, resume_download, user_agent, extract_compressed_file, force_extract, use_auth_token, local_files_only)
   1133         # URL, so get it from the cache (downloading if necessary)
-> 1134         output_path = get_from_cache(
   1135             url_or_filename,

~/Documents/github/econ2355/version2env/lib/python3.8/site-packages/transformers/file_utils.py in get_from_cache(url, cache_dir, force_download, proxies, etag_timeout, resume_download, user_agent, use_auth_token, local_files_only)
   1299             r = requests.head(url, headers=headers, allow_redirects=False, proxies=proxies, timeout=etag_timeout)
-> 1300             r.raise_for_status()
   1301             etag = r.headers.get("X-Linked-Etag") or r.headers.get("ETag")

~/Documents/github/econ2355/version2env/lib/python3.8/site-packages/requests/models.py in raise_for_status(self)
    942         if http_error_msg:
--> 943             raise HTTPError(http_error_msg, response=self)
    944 

HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/facebook/bart-large-mnli/resolve/main/tf_model.h5

During handling of the above exception, another exception occurred:

OSError                                   Traceback (most recent call last)
<ipython-input-2-7aad78410119> in <module>
     14 
     15 from transformers import pipeline
---> 16 classifier = pipeline('zero-shot-classification',
     17                       model='facebook/bart-large-mnli')
     18 

~/Documents/github/econ2355/version2env/lib/python3.8/site-packages/transformers/pipelines/__init__.py in pipeline(task, model, config, tokenizer, framework, revision, use_fast, model_kwargs, **kwargs)
    342         model = get_default_model(targeted_task, framework, task_options)
    343 
--> 344     framework = framework or get_framework(model)
    345 
    346     task_class, model_class = targeted_task["impl"], targeted_task[framework]

~/Documents/github/econ2355/version2env/lib/python3.8/site-packages/transformers/pipelines/base.py in get_framework(model, revision)
     66             model = AutoModel.from_pretrained(model, revision=revision)
     67         elif is_tf_available() and not is_torch_available():
---> 68             model = TFAutoModel.from_pretrained(model, revision=revision)
     69         else:
     70             try:

~/Documents/github/econ2355/version2env/lib/python3.8/site-packages/transformers/models/auto/modeling_tf_auto.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
    616 
    617         if type(config) in TF_MODEL_MAPPING.keys():
--> 618             return TF_MODEL_MAPPING[type(config)].from_pretrained(
    619                 pretrained_model_name_or_path, *model_args, config=config, **kwargs
    620             )

~/Documents/github/econ2355/version2env/lib/python3.8/site-packages/transformers/modeling_tf_utils.py in from_pretrained(cls, pretrained_model_name_or_path, *model_args, **kwargs)
   1234                     f"- or '{pretrained_model_name_or_path}' is the correct path to a directory containing a file named one of {TF2_WEIGHTS_NAME}, {WEIGHTS_NAME}.\n\n"
   1235                 )
-> 1236                 raise EnvironmentError(msg)
   1237             if resolved_archive_file == archive_file:
   1238                 logger.info("loading weights file {}".format(archive_file))

OSError: Can't load weights for 'facebook/bart-large-mnli'. Make sure that:

- 'facebook/bart-large-mnli' is a correct model identifier listed on 'https://huggingface.co/models'

- or 'facebook/bart-large-mnli' is the correct path to a directory containing a file named one of tf_model.h5, pytorch_model.bin.
```




Comments:
@mayanb I don't think this model has a TF version till now, check:- https://huggingface.co/facebook/bart-large-mnli/tree/main

@frankhart2018 ah you're right! thanks!