Comments (3)
Hey @baggiponte , thank you for this idea. I removed all the asserts (found actually them in other libraries and thought it's a better idea but apparently not :) )
Now, changing the code to use Literal. I will also probably get rid of some enums
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All assertions were removed. I tried to use Literal in a few places but enum there seems more relevant, so just used it in the transformers_helper as you suggested
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Great! Don't mind helping (even if it's just with reviewing the type annotation pr).
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Related Issues (20)
- Broken roadmap link in README HOT 1
- Support inference URLs for models used by scanners HOT 2
- llm-guard package installation with poetry. HOT 13
- Poor Metrics when running Prompt Injection Scanner HOT 4
- Toxicity Scanner to return the type of content HOT 1
- How to Use Custom SpaCy Model (beki/en_spacy_pii_distilbert) with Anonymize and Sensitive Scanners HOT 1
- Bias Prompt Injection HOT 1
- torch installation error HOT 1
- RuntimeError: Numpy is not available HOT 1
- Behavior of PromptInjection HOT 1
- [BanSubstrings] `substrings` should not default to None HOT 6
- Security layer for API HOT 2
- Detecting code from free flow text prompt HOT 3
- Stream support HOT 3
- The LLM-Guard API docker instance running on podman return the following error while using swagger UI and testing methods. HOT 8
- BanCompetitors constructor `model` argument is unintuitive HOT 4
- LLM_GUARD_API not working HOT 1
- Request for the API interface definition and sample implmentation codes HOT 1
- Scanners' speed, pulling up packages at execution HOT 2
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