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amingh802001/Jalal_Bert
Jalal_Bert is a machine learning model from amingh802001. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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From the Hugging Face model README
This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
This is a dummy custom Bert-like model, which has only 4 encoder layers(instead of 12 in the original one) and its encoders are initialized based on the encoder layers 0, 4, 8, 11 of the original model. (Thse are all based on the requirements of a silly contest question)
You can fine-tune the model(on persian text) to see if it could obtain a good result for classification (but it's not recommended really :)
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
from transformers import AutoModel model = AutoModel.from_pretrained(“amingh802001/Jalal_Bert”) output = model(input_ids=input_ids, attention_mask=attention_mask, token_type_ids= token_type_ids)
also you can access the outputs of hidden_states in this way: output_of_layer_i = output.hidden_states[i+1] (zero is for the embeddings layer)
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A matrix of outputs of all hidden layers of all tokens in the vocabulary of the base model
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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My own laptop and cpu on colab :(( [More Information Needed]
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BibTeX:
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APA:
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