CosmoSpeak
Model Summary
CosmoSpeak is a state-of-the-art chatbot that specializes in the domain of Astronautics / Space Mission Engineering. It covers topics such as
.Flight control team .Flight Dynamics .Procedure Preparation and Validation .Mission Planning .Extravehicular Activities (EVAs) .Collision Avoidance Manoeuvres .Mission Termination and De-Orbit Strategies
CosmoSpeak is a fine-tuned SmolLM-135M trained with Astrochat dataset (https://huggingface.co/datasets/patrickfleith/AstroChat)
Model Trained Using AutoTrain
This model was trained using AutoTrain. For more information, please visit AutoTrain.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model_path = "https://huggingface.co/yd915/CosmoSpeak"
tokenizer = AutoTokenizer.from_pretrained(model_path)
model = AutoModelForCausalLM.from_pretrained(
model_path,
device_map="auto",
torch_dtype='auto'
).eval()
# Prompt content: "hi"
messages = [
{"role": "user", "content": "hi"}
]
input_ids = tokenizer.apply_chat_template(conversation=messages, tokenize=True, add_generation_prompt=True, return_tensors='pt')
output_ids = model.generate(input_ids.to('cuda'))
response = tokenizer.decode(output_ids[0][input_ids.shape[1]:], skip_special_tokens=True)
# Model response: "Hello! How can I assist you today?"
print(response)
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Model tree for yd915/CosmoSpeak
Base model
HuggingFaceTB/SmolLM-135M