Enwei Zhu
Enwei Zhu
你好， 按照公式，Span (3, 3) * 属于 Entity A 的概率为 1 - eps = 1 - 0.2 = 0.8 * 属于 Entity B 的概率为 eps / (sb_size * dist * 4)...
在这里哈：https://github.com/syuoni/eznlp/blob/master/eznlp/model/decoder/boundaries.py#L173-L179
> > 以上这种情况，就是（4，4）会有0.8 的entity B，再加上epsilon/num_of_surrounding_spans 的entity A。 是这样吗？ 这是我根据这段code的理解 > > ``` > > for label, start, end in self.chunks: > > label_id = config.label2idx[label] > > self.label_ids[start, end-1, label_id]...
> > 你好， > > 按照公式，Span (3, 3) > > > > * 属于 Entity A 的概率为 1 - eps = 1 - 0.2 = 0.8 > > * 属于...
Hi all, we've started investigating and implementing the cohere models. It is planned to be delivered in the 0.13 version.
> [@syuoni](https://github.com/syuoni) Please also support these! https://huggingface.co/CohereForAI/c4ai-command-r-08-2024 https://huggingface.co/CohereForAI/c4ai-command-r-plus-08-2024 These models share the same architecture `CohereForCausalLM`, so it's very likely they will be supported automatically once command-r is ready.
Hi all, Yes. Cohere is postponed; it's not available in 0.13. Cohere has some structures quite different from LLaMA, e.g., qk_layernorm, so it took some extra time to align the...
Hi all, The Command-R and Aya models have been supported on main branch. See: https://github.com/NVIDIA/TensorRT-LLM/tree/main/examples/commandr I'm closing this issue. Thanks!