找到适合你的 AI 模型。

加入对比来源 / 文档 ↗

hoi4-portraits-flux2-klein-9b-lora

Hoops-McCann

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

基础资料已收录 · 缺失资料后续补充

分类待补充

输入待核验→ 输出待核验

价格待核验多模态与渠道费用须分别核对

加入对比来源 / 文档 ↗

albert-fa-zwnj-base-v2

HooshvareLab

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

基础资料已收录 · 缺失资料后续补充

输入文本→ 输出文本

价格待核验多模态与渠道费用须分别核对

加入对比来源 / 文档 ↗

bert-base-parsbert-ner-uncased

HooshvareLab

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

输入文本→ 输出文本

价格待核验多模态与渠道费用须分别核对

加入对比来源 / 文档 ↗

bert-base-parsbert-uncased

HooshvareLab

ParsBERT is a monolingual language model based on Google’s BERT architecture with the same configurations as BERT-Base. All the models (downstream tasks) are uncased and trained with whole word masking. (coming soon stay tuned) This model is pre-trained on a large Persian corpus with various writing styles from numerous subjects (e.g., scientific, novels, news) with more than 2M documents. A large subset of this corpus was crawled manually.

译文排队中 · 当前显示来源原文

输入文本→ 输出文本

价格待核验多模态与渠道费用须分别核对

加入对比来源 / 文档 ↗

bert-fa-base-uncased

HooshvareLab

We reconstructed the vocabulary and fine-tuned the ParsBERT v1.1 on the new Persian corpora in order to provide some functionalities for using ParsBERT in other scopes! Please follow the ParsBERT repo for the latest information about previous and current models. ParsBERT is a monolingual language model based on Google’s BERT architecture. This model is pre-trained on large Persian corpora with various writing styles from numerous subjects (e.g., scientific, novels, news) with more than `3.9M` documents, `73M` sentences, and `1.3B` words. You can use the raw model for either masked language modeling or next sentence prediction, but it's mostly intended to be fine-tuned on a downstream task. See the model hub to look for fine-tuned versions on a task that interests you.

译文排队中 · 当前显示来源原文

输入文本→ 输出文本

价格待核验多模态与渠道费用须分别核对

加入对比来源 / 文档 ↗

bert-fa-base-uncased-sentiment-deepsentipers-binary

HooshvareLab

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

输入文本→ 输出文本

价格待核验多模态与渠道费用须分别核对

加入对比来源 / 文档 ↗

bert-fa-base-uncased-sentiment-snappfood

HooshvareLab

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

输入文本→ 输出文本

价格待核验多模态与渠道费用须分别核对

加入对比来源 / 文档 ↗

bert-fa-zwnj-base

HooshvareLab

The new version of BERT v3.0 for Persian is available today and can tackle the zero-width non-joiner character for Persian writing. Also, the model was trained on new multi-types corpora with a new set of vocabulary. ParsBERT is a monolingual language model based on Google’s BERT architecture. This model is pre-trained on large Persian corpora with various writing styles from numerous subjects (e.g., scientific, novels, news).

译文排队中 · 当前显示来源原文

输入文本→ 输出文本

价格待核验多模态与渠道费用须分别核对

加入对比来源 / 文档 ↗

bert-fa-zwnj-base-ner

HooshvareLab

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

基础资料已收录 · 缺失资料后续补充

输入文本→ 输出文本

价格待核验多模态与渠道费用须分别核对