Text Classification
Transformers
Safetensors
English
lfm2
text-generation
calibration
typed-decisions
system-one
rlcd
decision-making
jev-compatible
Instructions to use goutam/LFM2.5-1.2B-RLCD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goutam/LFM2.5-1.2B-RLCD with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="goutam/LFM2.5-1.2B-RLCD")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("goutam/LFM2.5-1.2B-RLCD") model = AutoModelForCausalLM.from_pretrained("goutam/LFM2.5-1.2B-RLCD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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