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  2. Nov 27, 2024More details about how to use the Normalizers are available on the Hugging Face blog; The PreTokenizer: in charge of creating initial words splits in the text. The most common way of splitting text is simply on whitespace. The Model: in charge of doing the actual tokenization. An example of a Model would be BPE or WordPiece.
  3. Oct 14, 2024Luc Georges @ Hugging Face. I've put amqprs in production and it's working very nicely so far! I've had spikes of publish and delivery over 10k msg/sec without breaking a sweat. Michael Klishin @ RabbitMQ team. We usually add new clients after they get some traction in the community. But this client seems to be fairly well documented and I like ...
  4. Jan 27, 2025the Hugging-Face tokenizers, the ndarray crate, the regex crate. The implementation aims to clearly distinguish and comment each processing step, make them easily configurable, and model the pipeline concept almost declaratively. Default configurations are provided, but it should be easy to adapt them:
  5. Mar 19, 2024Hugging Face Zephyr 7B β; StableLM 2 Zephyr 1.6B; The first time a model is used its weights are downloaded from Huggingface and cached to the ~/.cache/coze folder for later use. The current version supports: Prompt history navigation with fuzzy matching. History persistence across runs. Token generation modes. Copy prompts and replies to ...
  6. dlib-face-recognition. Unofficial Rust wrappers to the C++ library dlib, face recognition tools. ... 🤗Hugging Face, and 🦙llama.cpp. v 0.1.0 app # hugging-face # ai # chat # local # cpp # llama # iced. cecile-supercool-tracker. Machine learning framework for building object trackers and similarity search engines.
  7. May 8, 2023From Hugging Face. Hugging Face 🤗 is a leader in open-source machine learning and hosts hundreds of GGML models. Search for GGML models on Hugging Face 🤗. r/LocalLLaMA. This Reddit community maintains a wiki related to GGML models, including well organized lists of links for acquiring GGML models (mostly from Hugging Face 🤗). LLaMA ...

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