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Updated the name of the model after changing it

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  1. README.md +3 -3
README.md CHANGED
@@ -23,7 +23,7 @@ pipeline_tag: text2text-generation
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  ## Model Details
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- - **Model Name**: seamless-enhanced-darija-eng_v1.2
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  - **Base Model**: facebook/seamless-m4t-v2-large
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  - **Model Type**: Fine-tuned translation model
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  - **Languages**: Moroccan Arabic (Darija) ↔ English
@@ -62,7 +62,7 @@ Each entry in the dataset contains:
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  ## Intended Use
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  This model is intended to be used directly for translating text from Moroccan Arabic (Darija) to English.
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- It can be further fine tuned, and deployed in various applications requiring translation services.
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  This version is more capable than the original model in Darija to English translation.
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  ### Direct Use
@@ -115,7 +115,7 @@ To use this model:
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  ```python
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  from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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- model_name = "AnasAber/seamless-enhanced-darija-eng_v1.2"
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  model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  ```
 
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  ## Model Details
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+ - **Model Name**: seamless-darija-eng
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  - **Base Model**: facebook/seamless-m4t-v2-large
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  - **Model Type**: Fine-tuned translation model
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  - **Languages**: Moroccan Arabic (Darija) ↔ English
 
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  ## Intended Use
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  This model is intended to be used directly for translating text from Moroccan Arabic (Darija) to English.
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+ It can be further fine-tuned, and deployed in various applications requiring translation services.
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  This version is more capable than the original model in Darija to English translation.
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  ### Direct Use
 
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  ```python
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  from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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+ model_name = "AnasAber/seamless-darija-eng"
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  model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
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  tokenizer = AutoTokenizer.from_pretrained(model_name)
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  ```