--- tags: - summarization - mT5 - llama-cpp - gguf-my-repo datasets: - csebuetnlp/xlsum language: - am - ar - az - bn - my - zh - en - fr - gu - ha - hi - ig - id - ja - rn - ko - ky - mr - ne - om - ps - fa - pcm - pt - pa - ru - gd - sr - si - so - es - sw - ta - te - th - ti - tr - uk - ur - uz - vi - cy - yo licenses: - cc-by-nc-sa-4.0 widget: - text: Videos that say approved vaccines are dangerous and cause autism, cancer or infertility are among those that will be taken down, the company said. The policy includes the termination of accounts of anti-vaccine influencers. Tech giants have been criticised for not doing more to counter false health information on their sites. In July, US President Joe Biden said social media platforms were largely responsible for people's scepticism in getting vaccinated by spreading misinformation, and appealed for them to address the issue. YouTube, which is owned by Google, said 130,000 videos were removed from its platform since last year, when it implemented a ban on content spreading misinformation about Covid vaccines. In a blog post, the company said it had seen false claims about Covid jabs "spill over into misinformation about vaccines in general". The new policy covers long-approved vaccines, such as those against measles or hepatitis B. "We're expanding our medical misinformation policies on YouTube with new guidelines on currently administered vaccines that are approved and confirmed to be safe and effective by local health authorities and the WHO," the post said, referring to the World Health Organization. base_model: csebuetnlp/mT5_multilingual_XLSum model-index: - name: csebuetnlp/mT5_multilingual_XLSum results: - task: type: summarization name: Summarization dataset: name: xsum type: xsum config: default split: test metrics: - type: rouge value: 36.5002 name: ROUGE-1 verified: true - type: rouge value: 13.934 name: ROUGE-2 verified: true - type: rouge value: 28.9876 name: ROUGE-L verified: true - type: rouge value: 28.9958 name: ROUGE-LSUM verified: true - type: loss value: 2.0674800872802734 name: loss verified: true - type: gen_len value: 26.9733 name: gen_len verified: true --- # birdsbirdsbirds/mT5_multilingual_XLSum-Q4_K_M-GGUF This model was converted to GGUF format from [`csebuetnlp/mT5_multilingual_XLSum`](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space. Refer to the [original model card](https://huggingface.co/csebuetnlp/mT5_multilingual_XLSum) for more details on the model. ## Use with llama.cpp Install llama.cpp through brew (works on Mac and Linux) ```bash brew install llama.cpp ``` Invoke the llama.cpp server or the CLI. ### CLI: ```bash llama-cli --hf-repo birdsbirdsbirds/mT5_multilingual_XLSum-Q4_K_M-GGUF --hf-file mt5_multilingual_xlsum-q4_k_m.gguf -p "The meaning to life and the universe is" ``` ### Server: ```bash llama-server --hf-repo birdsbirdsbirds/mT5_multilingual_XLSum-Q4_K_M-GGUF --hf-file mt5_multilingual_xlsum-q4_k_m.gguf -c 2048 ``` Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well. Step 1: Clone llama.cpp from GitHub. ``` git clone https://github.com/ggerganov/llama.cpp ``` Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux). ``` cd llama.cpp && LLAMA_CURL=1 make ``` Step 3: Run inference through the main binary. ``` ./llama-cli --hf-repo birdsbirdsbirds/mT5_multilingual_XLSum-Q4_K_M-GGUF --hf-file mt5_multilingual_xlsum-q4_k_m.gguf -p "The meaning to life and the universe is" ``` or ``` ./llama-server --hf-repo birdsbirdsbirds/mT5_multilingual_XLSum-Q4_K_M-GGUF --hf-file mt5_multilingual_xlsum-q4_k_m.gguf -c 2048 ```