MODEL PROFILE

Italian_NER_XXL

DeepMount00 · Italian_NER_XXL

**💡 Found this resource helpful?** Creating and maintaining open source AI models and datasets requires significant computational resources. If this work has been valuable to you, consider supporting my research to help me continue building tools that benefit the entire AI community. Every contribution directly funds more open source innovation! ☕ This is the initial release of our artificial intelligence model on Hugging Face. It is important to note that this version is just the beginning; the model will be constantly improved over time. **Currently, the model boasts an accuracy of 79%, but we plan to increase this regularly through monthly updates.** We are proud to announce that our model is currently the only one in Italy capable of identifying a wide range of **52** different categories. This capability distinctly sets it apart from other models available in the Italian landscape, offering an unprecedented level of versatility and breadth in entity recognition.

Text analysislicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/10/31 00:25:56
OVERVIEW

Model overview

**💡 Found this resource helpful?** Creating and maintaining open source AI models and datasets requires significant computational resources. If this work has been valuable to you, consider supporting my research to help me continue building tools that benefit the entire AI community. Every contribution directly funds more open source innovation! ☕ This is the initial release of our artificial intelligence model on Hugging Face. It is important to note that this version is just the beginning; the model will be constantly improved over time. **Currently, the model boasts an accuracy of 79%, but we plan to increase this regularly through monthly updates.** We are proud to announce that our model is currently the only one in Italy capable of identifying a wide range of **52** different categories. This capability distinctly sets it apart from other models available in the Italian landscape, offering an unprecedented level of versatility and breadth in entity recognition.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
No verified prices yet. Check the source channel.

Estimate monthly base token costs

—

Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

View full indexed rankings →

Frequently asked questions

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。