bert / encoder / self
General SOP for common requests related to bert, encoder, self.
npx skills add ECNU-ICALK/AutoSkill --skill bert-encoder-self --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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>): 1) 02245dbd5831469fc8d2e8eaef1206d3.json#conv_1 2) Use the user questions below as the PRIMARY extraction evidence 3) Use the full conversation below as SECONDARY context reference 4) In the full conversation section, assistant/model replies are reference-only and not skill evidence 5) Primary User Questions (main evidence 6) generate code for question geneartion task for arabic language using arabert transformer our dataset has question and context as df and use blue score 7) i get this alueError: Unrecognized configuration class <class 'transformers.models.bert.configuration_bert.BertConfig'> for this kind of AutoModel: AutoModelForSeq2SeqLM 8) 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, SeamlessM4Tv2Conf
- Prompt
- Triggers
- Examples
- Example 1
What does the bert / encoder / self skill do?
General SOP for common requests related to bert, encoder, self.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill bert-encoder-self --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.