Question Answering
Transformers
Safetensors
gemma3_text
text-generation
next
next-x1
efficient
open-source
1b
huggingface
large-language-model
llm
causal
artificial-intelligence
machine-learning
ai-research
natural-language-processing
nlp
finetuned
lightweight
creative
summarization
chat-model
generative-ai
optimized-model
unsloth
trl
sft
chemistry
biology
finance
legal
music
art
code
climate
medical
agent
text-generation-inference
gemma3
mergekit
Merge
uncensored
heretic
abliterated
roleplay
nsfw
trash
prototype
virus
progenitor
low-end
conversational
Not-For-All-Audiences
Instructions to use UmbrellaInc/Prototype-Virus-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UmbrellaInc/Prototype-Virus-1B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="UmbrellaInc/Prototype-Virus-1B") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("UmbrellaInc/Prototype-Virus-1B") model = AutoModelForCausalLM.from_pretrained("UmbrellaInc/Prototype-Virus-1B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Not-For-All-Audiences
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