Update README.md

README.md

@@ -3,202 +3,56 @@ library_name: peft
 base_model: TinyPixel/Llama-2-7B-bf16-sharded
 ---
 
-# Model Card for Model ID
 
-<!-- Provide a quick summary of what the model is/does. -->
+```py
+from typing import Any
+from transformers import AutoTokenizer, AutoModelForCausalLM
+from transformers import GenerationConfig
+import warnings
 
+from peft import PeftConfig, PeftModel
 
 
-## Model Details
+warnings.filterwarnings("ignore")
 
-### Model Description
 
-<!-- Provide a longer summary of what this model is. -->
+class InferenceLLM:
+    def __init__(self, path_or_model_name, use_flash_attention_2=False):
 
+        self.config = PeftConfig.from_pretrained(path_or_model_name)
+        self.model = AutoModelForCausalLM.from_pretrained(
+            self.config.base_model_name_or_path,
+            return_dict=True,
+            load_in_4bit=True,
+            device_map="auto",
+        )
+        self.tokenizer = AutoTokenizer.from_pretrained(self.config.base_model_name_or_path)
 
+        # Load the Lora model
+        self.model = PeftModel.from_pretrained(self.model, path_or_model_name)
 
-- **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]
+        # self.model = AutoModelForCausalLM.from_pretrained(path_or_model_name)
+        # self.tokenizer =AutoTokenizer.from_pretrained(path_or_model_name)
 
-### Model Sources [optional]
+    def __call__(self, prompt: str) -> Any:
 
-<!-- Provide the basic links for the model. -->
+        input_ids = self.tokenizer(prompt, return_tensors="pt")
+        output = self.model.generate(**input_ids, max_length=40)
+        text_generated = self.tokenizer.decode(output[0], skip_special_tokens=True)
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+        return text_generated
 
-## 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. -->
+if __name__ == "__main__":
 
-### Direct Use
+    # prompt="### Instruction: You are Yacine , an assistant virtual to help user .\n ### Question: What's your name ?\n### Answer :"
 
-<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+    prompt = "### Human: Kañ lañu faat Tomaa Sànkara ?\n### Assistant:"
 
-[More Information Needed]
+    generator = InferenceLLM(
+        path_or_model_name="galsenai/llama-2-7B_wolof_qa_assistant"
+        )
 
-### Downstream Use [optional]
+    print(generator(prompt=prompt))
 
-<!-- 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]
-
-
-### Framework versions
-
-- PEFT 0.7.2.dev0
+```