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Sponsored by
iMean AI Trip Planner
ethicalabs / Echo-SmolTools-114M-Intent-CLF-Gen
Model's Last Updated: August 23 2026
text-classification
Introduction of Echo-SmolTools-114M-Intent-CLF-Gen
Model Details of Echo-SmolTools-114M-Intent-CLF-Gen
Echo-SmolTools-114M-Intent-CLF-Gen
This is a
generative
sequence classification model based on the
Echo-DSRN
architecture.
It was merged from the base model
ethicalabs/Echo-DSRN-114M-v0.1.2
and the PEFT adapter
ethicalabs/Echo-SmolTools-114M-Intent-PEFT
.
No additional linear head is trained — the adapter's generative knowledge is used directly via constrained next-token scoring : for each candidate label the model sums the log-probability of each of its tokens, then picks the highest-scoring one.
Model Details
-
Architecture:
EchoForGenerativeClassification -
Base model:
ethicalabs/Echo-DSRN-114M-v0.1.2 -
Adapter:
ethicalabs/Echo-SmolTools-114M-Intent-PEFT - Labels: 60 Amazon MASSIVE intents (51 languages)
-
Dtype:
bfloat16 - Constraint Method: Next-token generative scoring
Usage
This model requires
trust_remote_code=True
to load the custom architecture.
import torch
from transformers import AutoTokenizer
from echo_dsrn.modeling_generative_clf import EchoForGenerativeClassification
model_id = "ethicalabs/Echo-SmolTools-114M-Intent-CLF-Gen" # or your hub path
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
model = EchoForGenerativeClassification.from_pretrained(
model_id,
trust_remote_code=True,
torch_dtype=torch.bfloat16,
device_map="auto",
)
# Single utterance
label, probs = model.classify("Enter your text here", tokenizer)
print(f"Prediction: {label}")
Runs of ethicalabs Echo-SmolTools-114M-Intent-CLF-Gen on huggingface.co
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More Information About Echo-SmolTools-114M-Intent-CLF-Gen huggingface.co Model
Url of Echo-SmolTools-114M-Intent-CLF-Gen
Echo-SmolTools-114M-Intent-CLF-Gen huggingface.co Url
Provider of Echo-SmolTools-114M-Intent-CLF-Gen huggingface.co
Other API from ethicalabs
Updated:August 23 2026
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