| | --- |
| | 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 |
| | |
| | <!-- Provide a quick summary of what the model is/does. --> |
| | |
| | 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 |
| | |
| | <!-- Provide a longer summary of what this model is. --> |
| | |
| | |
| | |
| | - **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] |
| | |
| | <!-- Provide the basic links for the model. --> |
| | |
| | - **Repository:** [More Information Needed] |
| | - **Paper [optional]:** [More Information Needed] |
| | - **Demo [optional]:** [More Information Needed] |
| | |
| | ## Uses |
| | |
| | <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. --> |
| | |
| | ### Direct Use |
| | |
| | <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. --> |
| | |
| | [More Information Needed] |
| | |
| | ### Downstream Use [optional] |
| | |
| | <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app --> |
| | |
| | [More Information Needed] |
| | |
| | ### Out-of-Scope Use |
| | |
| | <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. --> |
| | |
| | [More Information Needed] |
| | |
| | ## Bias, Risks, and Limitations |
| | |
| | <!-- This section is meant to convey both technical and sociotechnical limitations. --> |
| | |
| | [More Information Needed] |
| | |
| | ### Recommendations |
| | |
| | <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
| | |
| | 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 |
| | |
| | <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
| | |
| | [More Information Needed] |
| | |
| | ### Training Procedure |
| | |
| | <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. --> |
| | |
| | #### Preprocessing [optional] |
| | |
| | [More Information Needed] |
| | |
| | |
| | #### Training Hyperparameters |
| | |
| | - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision --> |
| | |
| | #### Speeds, Sizes, Times [optional] |
| | |
| | <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. --> |
| | |
| | [More Information Needed] |
| | |
| | ## Evaluation |
| | |
| | <!-- This section describes the evaluation protocols and provides the results. --> |
| | |
| | ### Testing Data, Factors & Metrics |
| | |
| | #### Testing Data |
| | |
| | <!-- This should link to a Dataset Card if possible. --> |
| | |
| | [More Information Needed] |
| | |
| | #### Factors |
| | |
| | <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. --> |
| | |
| | [More Information Needed] |
| | |
| | #### Metrics |
| | |
| | <!-- These are the evaluation metrics being used, ideally with a description of why. --> |
| | |
| | [More Information Needed] |
| | |
| | ### Results |
| | |
| | [More Information Needed] |
| | |
| | #### Summary |
| | |
| | |
| | |
| | ## Model Examination [optional] |
| | |
| | <!-- Relevant interpretability work for the model goes here --> |
| | |
| | [More Information Needed] |
| | |
| | ## Environmental Impact |
| | |
| | <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly --> |
| | |
| | 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] |
| | |
| | <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
| | |
| | **BibTeX:** |
| | |
| | [More Information Needed] |
| | |
| | **APA:** |
| | |
| | [More Information Needed] |
| | |
| | ## Glossary [optional] |
| | |
| | <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. --> |
| | |
| | [More Information Needed] |
| | |
| | ## More Information [optional] |
| | |
| | [More Information Needed] |
| | |
| | ## Model Card Authors [optional] |
| | |
| | [More Information Needed] |
| | |
| | ## Model Card Contact |
| | |
| | [More Information Needed] |
