Model Card for Model ID

Model Description

• Developed by: anagonzalez
• Funded by [optional]: [More Information Needed]
• Shared by [optional]: [More Information Needed]
• Model type: Causal Language Model (fine-tuned)
• Language(s) (NLP): English/Spanish
• License: Apache 2.0
• Finetuned from model [optional]: TinyLlama/TinyLlama-1.1B-Chat-v1.0

Model Sources [optional]

• Repository: [More Information Needed]
• Paper [optional]: [More Information Needed]
• Demo [optional]: [More Information Needed]

Uses

Direct Use

• Chatbots y asistentes de salud mental.
• Proyectos educativos y de investigación sobre modelos ligeros.

How to Get Started with the Model

from transformers import AutoTokenizer, AutoModelForCausalLM

model_id = "anagonzalez/chatiMind"

tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)

inputs = tokenizer("Hola, me siento estresado últimamente. ¿Qué puedo hacer?", return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=100)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Training Details

Training Data

Training Procedure

Preprocessing [optional]

Training Hyperparameters

• Training regime: [More Information Needed]

Speeds, Sizes, Times [optional]

Evaluation

Testing Data, Factors & Metrics

Testing Data

Factors

Metrics

Results

Summary

Model Examination [optional]

Environmental Impact

• 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

Compute Infrastructure

Hardware

Software

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