laya-sentiment-multilingual
laya-sentiment-multilingual by Ramg77 is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text.
Pricing
No hosted price is listed. The weights are open: the cost is your own compute.
Specifications
- Provider
- Ramg77
- Parameters
- 322M
- Released
- Sep 2026
- Open weights
- Yes
- Question types
- Choice (one of N options), Score (ordered rubric), Yes / no
- Mechanism
- Encoder classifier
- Backbone
- convaiinnovations/laya-multilingual
- Jev-compatible request
- No
- Runs on CPU
- Yes
- License
- apache-2.0
- Hugging Face
- Ramg77/laya-sentiment-multilingual
Self-reported by the publisher
The model's own claims, often on its own sets or a self-run copy of a public suite. Not independently verified and never ranked alongside measured results.
- Multilingual Sentiments — DE test (non-neutral)Self-reported
- 0.843
- Multilingual Sentiments — EN test (non-neutral)Self-reported
- 0.902
- Multilingual Sentiments — ES test (non-neutral)Self-reported
- 0.834
- Multilingual Sentiments — full non-neutral test set (580 perSelf-reported
- 0.860
- Multilingual Sentiments (holdout, neutral removed)Self-reported
- 0.880
Compare laya-sentiment-multilingual with…
FAQ
How much does laya-sentiment-multilingual cost?
laya-sentiment-multilingual has no hosted price listed; its weights are open, so the cost is the compute you run it on.
What questions can laya-sentiment-multilingual answer?
laya-sentiment-multilingual answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.
Is laya-sentiment-multilingual well calibrated?
No calibration measurement for laya-sentiment-multilingual is recorded yet.
Is laya-sentiment-multilingual open weight, and can it run on a CPU?
Yes, laya-sentiment-multilingual has open weights. It is small enough to run on a CPU.
Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.