--- pipeline_tag: text2text-generation language: - fr metrics: - accuracy - code_eval - bleu base_model: meta-llama/Llama-3.3-70B-Instruct library_name: transformers.js datasets: - fka/awesome-chatgpt-prompts - cognitivecomputations/dolphin-r1 --- # Nom du Modèle **Description :** Ce modèle est un adaptateur basé sur `meta-llama/Llama-3.3-70B-Instruct`, fine-tuné pour générer du texte en français pour des applications spécifiques (ex. : analyse SEO). **Utilisation :** Vous pouvez interroger ce modèle via l'Inference API pour obtenir des réponses à vos questions. Par exemple : ```javascript const fetch = require('node-fetch'); async function queryModel(prompt) { const API_URL = "https://api-inference.huggingface.co/models/your-username/your-custom-model"; const API_TOKEN = "YOUR_HUGGINGFACE_API_TOKEN"; const response = await fetch(API_URL, { method: "POST", headers: { "Authorization": `Bearer ${API_TOKEN}`, "Content-Type": "application/json" }, body: JSON.stringify({ inputs: prompt }) }); return await response.json(); } queryModel("Bonjour, comment améliorer mon SEO ?") .then(console.log) .catch(console.error); --- # Model Card for Model ID This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1). ## Model Details ### Model Description - **Developed by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Model type:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] - **Finetuned from model [optional]:** [More Information Needed] ### Model Sources [optional] - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [optional] [More Information Needed] ### Out-of-Scope Use [More Information Needed] ## Bias, Risks, and Limitations [More Information Needed] ### Recommendations Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Training Details ### Training Data [More Information Needed] ### Training Procedure #### Preprocessing [optional] [More Information Needed] #### Training Hyperparameters - **Training regime:** [More Information Needed] #### Speeds, Sizes, Times [optional] [More Information Needed] ## Evaluation ### Testing Data, Factors & Metrics #### Testing Data [More Information Needed] #### Factors [More Information Needed] #### Metrics [More Information Needed] ### Results [More Information Needed] #### Summary ## Model Examination [optional] [More Information Needed] ## Environmental Impact Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). - **Hardware Type:** [More Information Needed] - **Hours used:** [More Information Needed] - **Cloud Provider:** [More Information Needed] - **Compute Region:** [More Information Needed] - **Carbon Emitted:** [More Information Needed] ## Technical Specifications [optional] ### Model Architecture and Objective [More Information Needed] ### Compute Infrastructure [More Information Needed] #### Hardware [More Information Needed] #### Software [More Information Needed] ## Citation [optional] **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional] [More Information Needed] ## More Information [optional] [More Information Needed] ## Model Card Authors [optional] [More Information Needed] ## Model Card Contact [More Information Needed]