Feature Extraction
Transformers
Safetensors
English
llama
text-generation
DNA
RNA
genomic
metagenomic
metagene
metagene-1
text-embeddings-inference
Instructions to use metagene-ai/METAGENE-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use metagene-ai/METAGENE-1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="metagene-ai/METAGENE-1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("metagene-ai/METAGENE-1") model = AutoModelForCausalLM.from_pretrained("metagene-ai/METAGENE-1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
remove load path
Browse files- config.json +0 -1
config.json
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{
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"_name_or_path": "/project/neiswang_1391/MGFM/MGFM-serving/model_ckpts/safetensors/step-00086000",
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"architectures": [
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"LlamaForCausalLM"
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],
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{
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"architectures": [
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"LlamaForCausalLM"
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],
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