Update longformer.md#37622
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stevhliu merged 6 commits intohuggingface:mainfrom Apr 21, 2025
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| For more information please also refer to [`~LongformerModel.forward`] method. | ||
| Quantization reduces the memory burden of large models by representing the weights in a lower precision. Refer to the [Quantization](../quantization/overview) overview for more available quantization backends. |
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I don't think we need a Quantization example here since the model isn't that big
| - [Question answering task guide](../tasks/question_answering) | ||
| - [Masked language modeling task guide](../tasks/masked_language_modeling) | ||
| - [Multiple choice task guide](../tasks/multiple_choice) | ||
| - If you're using Transformers < 4.37.0.dev, set `trust_remote_code=True` in [~AutoModel.from_pretrained]. Otherwise, make sure you update Transformers to the latest stable version. |
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Not necessary to include this note. Instead, add the below
- Longformer is based on RoBERTa and doesn't have
token_type_ids. You don't need to indicate which token belongs to which segment. You only need to separate the segments with the separation token</s>ortokenizer.sep_token. - You can set which tokens can attend locally and which tokens attend globally with the
global_attention_maskat inference (see this example for more details). A value of0means a token attends locally and a value of1means a token attends globally. - [
LongformerForMaskedLM] is trained like [RobertaForMaskedLM] and should be used as shown below.input_ids = tokenizer.encode("This is a sentence from [MASK] training data", return_tensors="pt") mlm_labels = tokenizer.encode("This is a sentence from the training data", return_tensors="pt") loss = model(input_ids, labels=input_ids, masked_lm_labels=mlm_labels)[0]
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update. |
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* Update longformer.md * Update longformer.md * Update docs/source/en/model_doc/longformer.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update docs/source/en/model_doc/longformer.md Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com> * Update longformer.md --------- Co-authored-by: Steven Liu <59462357+stevhliu@users.noreply.github.com>
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Refactored Longformer docs
Added examples for pipeline, Automodel and cli
Added quantization
Did not add a Attention visualizer, from what I researched it doesn't support it, if it is not the case I am happy to add it !
Added a note concerning versions < 4.37.0.dev