Two small chat models run in a computer’s browser here; every other model is a file you download.
No matches. Try a model format, tool name or error.
Which model should I check to extract names and places from text?
Inspect BERT base NER records for token classification. Check the model card's language and label set before using it to extract names, places or organizations.
Which model should I check to extract names and places from text?
It depends on your task, available memory, file format and license. The records below match this guide’s filters. Check the linked file evidence before choosing: a catalog match does not prove runtime support, safety or answer quality.
An answer pack is a question-specific filter over catalog records. It is not a benchmark, safety review or guarantee that a model will run.
License terms and download availability are separate. Read the exact upstream license before using a model.
Answer response assembled as of . This dates the returned rows, not an upstream model update or a successful model run. Check each linked file record for current availability.
mit. Permissive open license: commercial use, modification, and redistribution are permitted. License details
Hosting
16 hosted files. Inspect the file record for current availability. 13 files listed upstream.
File evidence
No exact file name or SHA-256 is recorded in this answer row. Open the file record for current file-level evidence; unknown availability is unconfirmed.
Why listed
This is one of the selected repositories: dslim/bert-base-NER. Recorded task: token classification. Listed formats: safetensors, onnx. Recorded license: mit. This listing does not measure quality or prove runtime support.
