The SegFormer model we're going to fine-tune later expects specific names for the features. For convenience, we'll match this format now. Thus, we'll rename the image feature to pixel_values and the label.segmentation_bitmap to label and discard the other features. semantic_dataset...
56_fine_tune_segformer thumb.png 57_ai_residency 57_meg_mitchell_interview 58_decision-transformers 59_opinion-classification-with-kili 59_transformers_philosophy 60_carbon_emissions_on_the_hub 60_habana 60_lewis_tunstall_interview 61_education 61_getting_started_habana 61_ml_director_i...
The SegFormer model we're going to fine-tune later expects specific names for the features. For convenience, we'll match this format now. Thus, we'll rename the image feature to pixel_values and the label.segmentation_bitmap to label and discard the other features. semantic_datas...
17_fine_tune_wav2vec2_for_english_asr.ipynb 18_fine_tune_xlsr_wav2vec2_asr.ipynb 53_constrained_beam_search.ipynb 56_fine_tune_segformer.ipynb 64_fastai_hub.ipynb 80_getting_started_with_embeddings.ipynb 85_sentiment_analysis_twitter.ipynb 91_tf_xla_generate.ipynb 95_Trai...
The SegFormer model we're going to fine-tune later expects specific names for the features. For convenience, we'll match this format now. Thus, we'll rename the image feature to pixel_values and the label.segmentation_bitmap to label and discard the other features. semantic_dataset =...
17_fine_tune_wav2vec2_for_english_asr.ipynb 18_fine_tune_xlsr_wav2vec2_asr.ipynb 53_constrained_beam_search.ipynb 56_fine_tune_segformer.ipynb 64_fastai_hub.ipynb 80_getting_started_with_embeddings.ipynb 85_sentiment_analysis_twitter.ipynb 91_tf_xla_generate.ipynb 95_Trai...
The SegFormer model we're going to fine-tune later expects specific names for the features. For convenience, we'll match this format now. Thus, we'll rename the image feature to pixel_values and the label.segmentation_bitmap to label and discard the other features. semantic_...
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