SANKAR N
SANKAR N
**Describe the bug** Integrate prediction explainer (predict.explain() using LIME, Local prediction explanation ) https://github.com/marcotcr/lime
The CSVReaderHeaderAware reader.readmap() function when reading a CSV file seems to have issues when the header names have either longer text or something related to it. Here are the details....
Firstly, Thanks for developing this great model , the library and the demo at HuggingFace. My question is : Can we use Ru-dalle model using the HuggingFace Accelerated inference API...
@ThilinaRajapakse Can we use ProphetNet as a part of seq2seq model ? https://huggingface.co/docs/transformers/model_doc/prophetnet If not, Kindly add it as a feature under Seq2Seq in Simpletransformers i.e. to Predict and output...
Hi, Can Tensile be deployed on the Amazon EC2 F1 / FPGA instance? https://aws.amazon.com/ec2/instance-types/f1/ https://github.com/aws/aws-fpga#getting-familiar-with-aws If it is possible , Kindly provide documentation and steps. I would like to try...
This is a separate issue created from the discussion by @nsankar addressed to @wong-a from the issue id #31 The key point is which are the common SFN and AWS...
@OscarEngelbrektson Thanks for developing this great package. Qualitatively, What is the causal **interpretation** for the pointwise and cumulative counterfactual prediction plots given in the Germany example ? Kindly elaborate For...
@Vincent-Vercruyssen Just a follow up my question from transfertools , Is it correct to assume that for the following code line I took from SSDO detector.fit_predict(Xtr, y, prior=tr_prior) ? -...
@Vincent-Vercruyssen Thanks for the great research and this package. I have a question on the transfer learning source, targets and transfer learning when using LocIT. **My scenario #1** is that...
Please include ChatGPT Turbo's ChatOpenAI object to be passed as an LLM completion in the Summarizer chain. _(from langchain.chat_models.openai import ChatOpenAI)_ for the following usage `summary_chain = load_summarize_chain(llm, chain_type="map_reduce") summarize_document_chain...