Update README.md

README.md

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 # GPT2 Zinc 87m
 
-This is a GPT2 style autoregressive language model trained on ~480m SMILES strings from the [ZINC database](https://zinc.docking.org/) available through [Huggingface](https://huggingface.co/entropy/gpt2_zinc_87m).
+This is a GPT2 style autoregressive language model trained on ~480m SMILES strings from the [ZINC database](https://zinc.docking.org/).
 
 The model has ~87m parameters and was trained for 175000 iterations with a batch size of 3072 to a validation loss of ~.615. This model is useful for generating druglike molecules or generating embeddings from SMILES strings
 
 ## How to use
-To use, install the [transformers](https://github.com/huggingface/transformers) library:
-
-```
-pip install transformers
-```
-
-Load the model from the Huggingface Hub:
 
 ```python
 from transformers import GPT2TokenizerFast, GPT2LMHeadModel