# Can't load tokenizer for 'facebook/wav2vec2-large-robust'

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**Category:** 🤗Transformers\
**Created:** [September 13, 2021, 8:11pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fcant-load-tokenizer-for-facebook-wav2vec2-large-robust%2F9950 "2021-09-13T20:11:05Z")\
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**Author:** ![cdleong](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/cdleong/32/51380_2.png) [@cdleong](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fcdleong)%5C
**Post date:** [September 13, 2021, 8:11pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fcant-load-tokenizer-for-facebook-wav2vec2-large-robust%2F9950%2F1 "2021-09-13T20:11:05Z")

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I’m attempting to do inference using the latest “robust” model, roughly following the steps laid out in inspired by [this notebook](https://github.com/chuachinhon/wav2vec2_transformers/blob/main/notebooks/3.0_transcribe_translate_sentiment_analysis.ipynb)

When attempting to load in the Tokenizer for [wav2vec2-large-robust](https://huggingface.co/facebook/wav2vec2-large-robust), I have been encountering the following issue:

```python
OSError: Can't load tokenizer for 'facebook/wav2vec2-large-robust'. Make sure that:

- 'facebook/wav2vec2-large-robust' is a correct model identifier listed on 'https://huggingface.co/models'

- or 'facebook/wav2vec2-large-robust' is the correct path to a directory containing relevant tokenizer files

```

I tried `AutoTokenizer`, `Wav2Vec2CTCTokenizer` and `Wav2Vec2Tokenizer`, but none of those work.

When I use the same code, but swap out the name of the pretrained model to, say, “facebook/wav2vec2-base-960h” it works.

I tried retyping the names a few times, and recopied it directly from the website. I also recreated the issue in a Colab notebook, below.

Colab notebook replicating the issue: [https://colab.research.google.com/drive/1tZ3oEtkg9\_74nCLnnRq9lpLktyfAAS6I?usp=sharing](https://colab.research.google.com/drive/1tZ3oEtkg9_74nCLnnRq9lpLktyfAAS6I?usp=sharing)

Anyone got any suggestions for what I should try?