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AI モデル 84759

• celebrimbor-gpt2-medium-x81↗

  stanford-crfm

• Andy-4↗

  Sweaterdog

• git-commit-message↗

  Tavernari

• SynthIA-7B-v2.0-GGUF↗

  TheBloke

• Tiger-Gemma-9B-v3-GGUF↗

  TheDrummer

• SN3805↗

  thieu86

• Lilavati↗

  udgamlabs

• mistral-7b-instruct-v0.2↗

  unsloth

• SauerkrautLM-gemma-2-2b-it↗

  VAGOsolutions

• wav2vec2-xls-r-300m-timit-phoneme↗

  vitouphy

  This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the Timit dataset. Check this notebook for training detail. **Approach 1:** Using HuggingFace's pipeline, this will cover everything end-to-end from raw audio input to text output. We use DARPA TIMIT dataset for this model. - We split into **80/10/10** for training, validation, and testing respectively. - That roughly corresponds to about **137/17/17** minutes. - The model obtained **7.996%** on this test set.