RuntimeError: Missing implementation that supports: loader(*('/tmp/tfhub_modules/4f3530e4487d53ac1743187947c06ce11dbda528',), **{})

[kusumlata123]

i have downloaded BERT Muril from link
bert_url = "https://tfhub.dev/google/MuRIL-Large/1"
self.bert_tokenizer = self.load_bert_vocab()
def load_bert_vocab(self):
with tf.Graph().as_default():
bert_model = hub.Module(self.bert_url)
vocab_info = bert_model(signature="tokenization_info",as_dict=True)
with tf.Session() as sess:
vocab_file, do_lower_case = sess.run([vocab_info["vocab_file"],vocab_info["do_lower_case"]])

return bert_tokenization.FullTokenizer(vocab_file=vocab_file,do_lower_case=do_lower_case)

and got error

RuntimeError: Missing implementation that supports: loader(*('/tmp/tfhub_modules/4f3530e4487d53ac1743187947c06ce11dbda528',), **{})

File "train.py", line 19, in
model = util.get_model(config)
File "/home/dr/Desktop/master/util.py", line 27, in get_model
model = bert_md.BertMD(config)
File "/home/dr/Desktop/r/nn_md.py", line 18, in init
input_props = self.add_model_specific_valuables(config)
File "/home/dr/Desktop/r/bert_md.py", line 20, in add_model_specific_valuables
self.bert_tokenizer = self.load_bert_vocab()
File "/home/dr/Desktop/r/bert_md.py", line 45, in load_bert_vocab
bert_model = hub.Module(self.bert_url)
File "/home/dr/anaconda3/envs/hp/lib/python2.7/site-packages/tensorflow_hub/module.py", line 154, in init
self._spec = as_module_spec(spec)
File "/home/dr/anaconda3/envs/hp/lib/python2.7/site-packages/tensorflow_hub/module.py", line 36, in as_module_spec
return load_module_spec(spec)
File "/home/dr/anaconda3/envs/hp/lib/python2.7/site-packages/tensorflow_hub/module.py", line 64, in load_module_spec
return registry.loader(path)
File "/home/dr/anaconda3/envs/hp/lib/python2.7/site-packages/tensorflow_hub/registry.py", line 45, in call
self._name, args, kwargs))
RuntimeError: Missing implementation that supports: loader(*('/tmp/tfhub_modules/4f3530e4487d53ac17431879

[WGierke]

Hi @kusumlata123
I noticed a few things:

1. You're trying to load the model via hub.Module. This doesn't work since the model hasn't been stored as a TF1 Module. In the documentation, you can see that it has to be loaded using hub.KerasLayer (or hub.load).
2. When loading it as a KerasLayer
   layer = hub.KerasLayer("https://tfhub.dev/google/MuRIL-Large/1")
   you can access the path to the vocab via
   layer.resolved_object.vocab_file.asset_path
3. It seems like you're using Python 2.7. This isn't supported by TensorFlow anymore.

[kusumlata123]

but this error also exist if i used bert_url=" https://tfhub.dev/tensorflow/bert_multi_cased_L-12_H-768_A-12/4"

…

On Mon, Feb 14, 2022 at 1:23 PM Willi Gierke ***@***.***> wrote: Hi @kusumlata123 <https://github.com/kusumlata123> I noticed a few things: 1. You're trying to load the model via hub.Module. This doesn't work since the model hasn't been stored as a TF1 Module. In the documentation <https://tfhub.dev/google/MuRIL-Large/1>, you can see that it has to be loaded using hub.KerasLayer (or hub.load). 2. When loading it as a KerasLayer layer = hub.KerasLayer("https://tfhub.dev/google/MuRIL-Large/1") you can access the path to the vocab via layer.resolved_object.vocab_file.asset_path 3. It seems like you're using Python 2.7. This isn't supported by TensorFlow anymore <https://www.tensorflow.org/install>. — Reply to this email directly, view it on GitHub <#840 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AJKEARDFQJZBQF3VTKFS6VLU3CYG5ANCNFSM5OF4YUTA> . Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub>. You are receiving this because you were mentioned.Message ID: ***@***.***>

[WGierke]

https://tfhub.dev/tensorflow/bert_multi_cased_L-12_H-768_A-12/4 is also no TF1 Module. The documentation says it's a TF2.0 Saved Model and the code snippet shows that one should use hub.KerasLayer/hub.load (https://www.tensorflow.org/hub/tf1_hub_module, https://www.tensorflow.org/hub/tf2_saved_model).