Bert encoder self
Skill ECNU-ICALK/AutoSkill/SkillBank/ConvSkill/english_gpt4_8_GLM4.7/bert-encoder-self
General SOP for common requests related to bert, encoder, self.From its SKILL.md
npx -y skills add ECNU-ICALK/AutoSkill --skill bert-encoder-selfAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
SKILL.md
2.3 KB, 481 tokens by cl100k_base, as published. Nobody here has run it
bert / encoder / self
General SOP for common requests related to bert, encoder, self.
Prompt
Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
- 02245dbd5831469fc8d2e8eaef1206d3.json#conv_1
- Use the user questions below as the PRIMARY extraction evidence
- Use the full conversation below as SECONDARY context reference
- In the full conversation section, assistant/model replies are reference-only and not skill evidence
- Primary User Questions (main evidence
- generate code for question geneartion task for arabic language using arabert transformer our dataset has question and context as df and use blue score
- i get this alueError: Unrecognized configuration class <class 'transformers.models.bert.configuration_bert.BertConfig'> for this kind of AutoModel: AutoModelForSeq2SeqLM
- Model type should be one of BartConfig, BigBirdPegasusConfig, BlenderbotConfig, BlenderbotSmallConfig, EncoderDecoderConfig, FSMTConfig, GPTSanJapaneseConfig, LEDConfig, LongT5Config, M2M100Config, MarianConfig, MBartConfig, MT5Config, MvpConfig, NllbMoeConfig, PegasusConfig, PegasusXConfig, PLBartConfig, ProphetNetConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SwitchTransformersConfig, T5Config, UMT5Config, XLMProphetNetConfig. when use this aubmindlab/bert-base-arabert
- i want ti user arabert not t5 when tokenize and train model
- KeyError: "Column train not in the dataset. Current columns in the dataset: ['query', 'positive', 'input_ids', 'token_type_ids', 'attention_mask', 'labels
For each step, include: action, checks, and failure rollback/fallback plan. Output format: for each step number, provide status/result and what to do next.
Triggers
- Use when the user asks for a process or checklist.
- Use when you want to reuse a previously mentioned method/SOP.
Examples
Example 1
Input:
Break this into best-practice, executable steps.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.